nhanes.samp.adult.500 <-
structure(list(ID = c(63106L, 67820L, 57178L, 68693L, 69465L, 
61505L, 67341L, 69498L, 57323L, 56025L, 57102L, 70828L, 54481L, 
54564L, 67989L, 53010L, 67407L, 60218L, 58108L, 66169L, 58227L, 
62087L, 70894L, 64571L, 60119L, 69870L, 64937L, 67714L, 67220L, 
69403L, 65568L, 67121L, 60125L, 53500L, 51899L, 71511L, 66473L, 
60689L, 58756L, 70223L, 66925L, 70703L, 62552L, 59486L, 55324L, 
60256L, 68707L, 67219L, 55560L, 63413L, 58424L, 64461L, 62479L, 
67285L, 63211L, 56925L, 62861L, 56519L, 69711L, 57408L, 71529L, 
63330L, 69499L, 69397L, 67499L, 62588L, 62909L, 52927L, 59108L, 
64616L, 70008L, 60312L, 53085L, 60296L, 70223L, 58753L, 67522L, 
58725L, 52586L, 62308L, 55909L, 65050L, 64559L, 56727L, 56475L, 
66472L, 58864L, 52226L, 55369L, 67447L, 70151L, 55438L, 70338L, 
70429L, 62125L, 57633L, 59368L, 53528L, 56222L, 71094L, 65177L, 
64380L, 58504L, 55687L, 66642L, 62510L, 54284L, 55496L, 55146L, 
56909L, 58147L, 64213L, 68293L, 67779L, 60058L, 61269L, 63953L, 
54651L, 58072L, 64637L, 60934L, 58542L, 52115L, 71072L, 54343L, 
67521L, 51781L, 68961L, 60977L, 67001L, 71046L, 61166L, 63974L, 
60782L, 66321L, 54471L, 56033L, 55628L, 63267L, 63545L, 54869L, 
71679L, 55303L, 67587L, 71012L, 63593L, 55455L, 51928L, 70485L, 
60854L, 57159L, 66554L, 58456L, 71691L, 52090L, 67643L, 60086L, 
67059L, 57247L, 63361L, 55191L, 69019L, 51966L, 65373L, 61478L, 
62536L, 59258L, 67745L, 57267L, 63414L, 65122L, 70264L, 64682L, 
62555L, 52935L, 53461L, 69365L, 66944L, 63154L, 58060L, 54628L, 
69022L, 69421L, 62149L, 69321L, 61745L, 57763L, 53763L, 61577L, 
68293L, 64337L, 56710L, 53268L, 52222L, 63353L, 66522L, 64828L, 
51780L, 68152L, 61582L, 62634L, 52819L, 60136L, 59391L, 68043L, 
69149L, 62706L, 70537L, 70414L, 60125L, 55270L, 71495L, 62991L, 
68040L, 63974L, 63453L, 66402L, 55484L, 69038L, 64029L, 71793L, 
71756L, 52090L, 69675L, 65340L, 66358L, 57215L, 59372L, 69349L, 
61172L, 62804L, 59988L, 70653L, 65620L, 59345L, 63188L, 52975L, 
60640L, 64503L, 55100L, 59046L, 58680L, 68978L, 69734L, 52894L, 
70064L, 63850L, 56511L, 56052L, 64491L, 69456L, 51801L, 58058L, 
70730L, 70629L, 66957L, 58313L, 62071L, 62967L, 59006L, 68791L, 
60875L, 53950L, 68021L, 56436L, 66494L, 52661L, 62417L, 69827L, 
64592L, 58838L, 68568L, 52570L, 59600L, 53468L, 57457L, 52243L, 
64403L, 70409L, 60741L, 68613L, 59379L, 64964L, 52931L, 52434L, 
66620L, 60899L, 62724L, 53127L, 60103L, 57392L, 60782L, 60063L, 
65503L, 56939L, 68477L, 51829L, 67503L, 60755L, 67119L, 66547L, 
71467L, 65451L, 68356L, 62793L, 65375L, 56536L, 59161L, 62467L, 
61281L, 51997L, 62720L, 52054L, 70825L, 57289L, 64682L, 62071L, 
59692L, 63401L, 66246L, 63744L, 55001L, 70547L, 66505L, 58477L, 
64530L, 63149L, 64759L, 52584L, 70716L, 71054L, 52621L, 57814L, 
53000L, 52255L, 61947L, 66680L, 65175L, 54431L, 59346L, 52959L, 
67503L, 55792L, 68875L, 55152L, 71307L, 71730L, 58898L, 67530L, 
58520L, 57753L, 63169L, 61682L, 52187L, 51959L, 59989L, 68196L, 
60219L, 67452L, 55331L, 59539L, 59327L, 64507L, 67974L, 54396L, 
57963L, 55044L, 54516L, 66295L, 57331L, 71868L, 57550L, 71662L, 
69462L, 55189L, 68907L, 58664L, 54288L, 62604L, 58712L, 51861L, 
66674L, 52290L, 60470L, 69637L, 58703L, 60829L, 63744L, 60944L, 
56089L, 59092L, 64228L, 63033L, 71132L, 55250L, 54459L, 60551L, 
56614L, 66766L, 64857L, 66008L, 69287L, 57332L, 69523L, 56468L, 
66027L, 64485L, 58816L, 63472L, 60833L, 58322L, 61800L, 57626L, 
69371L, 65606L, 69923L, 63288L, 70708L, 58798L, 58045L, 54030L, 
64439L, 56472L, 71763L, 61615L, 63390L, 58627L, 66568L, 70134L, 
54824L, 58622L, 70033L, 67183L, 58719L, 66525L, 70502L, 54803L, 
71291L, 52484L, 65088L, 63236L, 59788L, 52205L, 68589L, 60475L, 
55447L, 69257L, 61693L, 61482L, 52107L, 52848L, 56081L, 63832L, 
51911L, 62982L, 65643L, 53720L, 58390L, 67861L, 55015L, 70654L, 
55796L, 68754L, 54094L, 67775L, 59977L, 67113L, 61445L, 65850L, 
62902L, 64825L, 59206L, 68548L, 55002L, 63082L, 62880L, 66957L, 
52731L, 68871L, 55266L, 71093L, 52434L, 52122L, 63163L, 58354L, 
55113L, 69992L, 64149L, 60685L, 52496L, 59522L, 57403L, 57925L, 
52773L, 57907L, 54090L, 66431L, 63006L, 62345L, 54046L), SurveyYr = structure(c(2L, 
2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 
1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 
2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 
2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 
1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 
1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 
1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 
1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 
1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 
2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 
1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
2L, 2L, 1L), .Label = c("2009_10", "2011_12"), class = "factor"), 
    Gender = structure(c(2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
    1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 
    2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 
    1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
    2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
    1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
    1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 
    2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
    1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 
    1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L), .Label = c("female", 
    "male"), class = "factor"), Age = c(50L, 47L, 46L, 28L, 50L, 
    39L, 74L, 31L, 21L, 80L, 58L, 26L, 52L, 34L, 22L, 51L, 64L, 
    70L, 61L, 63L, 71L, 74L, 70L, 26L, 66L, 68L, 80L, 75L, 33L, 
    61L, 36L, 39L, 72L, 32L, 30L, 64L, 56L, 65L, 64L, 47L, 23L, 
    57L, 41L, 79L, 46L, 45L, 54L, 32L, 65L, 61L, 46L, 34L, 36L, 
    70L, 46L, 66L, 80L, 79L, 51L, 57L, 33L, 51L, 42L, 46L, 73L, 
    21L, 31L, 35L, 26L, 21L, 55L, 50L, 44L, 47L, 47L, 73L, 26L, 
    49L, 64L, 78L, 54L, 80L, 70L, 76L, 66L, 61L, 39L, 63L, 40L, 
    57L, 80L, 50L, 36L, 44L, 56L, 27L, 22L, 44L, 50L, 51L, 22L, 
    22L, 40L, 60L, 41L, 80L, 23L, 80L, 43L, 48L, 21L, 37L, 54L, 
    56L, 56L, 37L, 31L, 43L, 65L, 77L, 49L, 40L, 43L, 50L, 28L, 
    76L, 29L, 64L, 67L, 76L, 52L, 38L, 53L, 41L, 71L, 31L, 30L, 
    57L, 72L, 56L, 53L, 27L, 71L, 80L, 24L, 77L, 39L, 62L, 34L, 
    61L, 39L, 60L, 38L, 76L, 52L, 76L, 67L, 29L, 50L, 67L, 45L, 
    44L, 28L, 45L, 48L, 46L, 28L, 72L, 56L, 27L, 24L, 23L, 42L, 
    35L, 72L, 55L, 59L, 72L, 36L, 45L, 75L, 48L, 68L, 66L, 55L, 
    37L, 31L, 60L, 52L, 54L, 21L, 71L, 71L, 39L, 23L, 46L, 58L, 
    54L, 56L, 39L, 68L, 44L, 26L, 60L, 32L, 62L, 39L, 26L, 25L, 
    72L, 39L, 28L, 24L, 25L, 53L, 48L, 60L, 59L, 29L, 22L, 57L, 
    63L, 52L, 58L, 25L, 64L, 40L, 40L, 74L, 55L, 69L, 24L, 43L, 
    25L, 76L, 60L, 37L, 62L, 70L, 36L, 35L, 25L, 39L, 26L, 43L, 
    38L, 49L, 38L, 47L, 29L, 52L, 26L, 62L, 55L, 28L, 62L, 29L, 
    49L, 36L, 58L, 45L, 80L, 22L, 34L, 37L, 47L, 71L, 26L, 30L, 
    29L, 62L, 27L, 32L, 52L, 21L, 77L, 76L, 40L, 44L, 40L, 61L, 
    53L, 80L, 70L, 80L, 64L, 64L, 57L, 39L, 62L, 33L, 41L, 71L, 
    44L, 80L, 21L, 34L, 45L, 21L, 46L, 65L, 48L, 33L, 73L, 72L, 
    52L, 67L, 33L, 65L, 21L, 74L, 58L, 68L, 47L, 27L, 42L, 49L, 
    65L, 49L, 40L, 50L, 37L, 39L, 34L, 48L, 53L, 43L, 80L, 39L, 
    43L, 51L, 35L, 56L, 53L, 80L, 56L, 56L, 50L, 23L, 60L, 28L, 
    45L, 41L, 52L, 80L, 58L, 40L, 66L, 52L, 56L, 74L, 33L, 80L, 
    44L, 31L, 68L, 45L, 57L, 60L, 56L, 42L, 44L, 70L, 27L, 22L, 
    21L, 79L, 70L, 80L, 29L, 43L, 45L, 74L, 36L, 64L, 26L, 47L, 
    57L, 73L, 80L, 80L, 80L, 32L, 30L, 58L, 78L, 58L, 50L, 48L, 
    34L, 24L, 44L, 45L, 68L, 24L, 41L, 68L, 28L, 39L, 54L, 43L, 
    54L, 80L, 56L, 76L, 40L, 32L, 80L, 24L, 52L, 47L, 44L, 54L, 
    32L, 48L, 57L, 58L, 57L, 69L, 68L, 39L, 53L, 32L, 40L, 21L, 
    53L, 74L, 52L, 47L, 65L, 52L, 53L, 52L, 75L, 47L, 71L, 63L, 
    50L, 31L, 37L, 80L, 80L, 48L, 54L, 74L, 65L, 25L, 33L, 59L, 
    48L, 73L, 31L, 46L, 48L, 66L, 38L, 30L, 57L, 60L, 29L, 28L, 
    72L, 57L, 47L, 29L, 44L, 55L, 46L, 58L, 48L, 52L, 58L, 66L, 
    23L, 59L, 64L, 62L, 47L, 37L, 53L, 50L, 80L, 67L, 48L, 76L, 
    22L, 23L, 29L, 30L, 60L, 37L, 55L, 42L, 64L, 48L, 73L, 23L, 
    53L, 38L, 38L), AgeDecade = structure(c(6L, 5L, 5L, 3L, 6L, 
    4L, 8L, 4L, 3L, NA, 6L, 3L, 6L, 4L, 3L, 6L, 7L, 8L, 7L, 7L, 
    8L, 8L, 8L, 3L, 7L, 7L, NA, 8L, 4L, 7L, 4L, 4L, 8L, 4L, 4L, 
    7L, 6L, 7L, 7L, 5L, 3L, 6L, 5L, 8L, 5L, 5L, 6L, 4L, 7L, 7L, 
    5L, 4L, 4L, 8L, 5L, 7L, NA, 8L, 6L, 6L, 4L, 6L, 5L, 5L, 8L, 
    3L, 4L, 4L, 3L, 3L, 6L, 6L, 5L, 5L, 5L, 8L, 3L, 5L, 7L, 8L, 
    6L, NA, 8L, 8L, 7L, 7L, 4L, 7L, 5L, 6L, NA, 6L, 4L, 5L, 6L, 
    3L, 3L, 5L, 6L, 6L, 3L, 3L, 5L, 7L, 5L, NA, 3L, NA, 5L, 5L, 
    3L, 4L, 6L, 6L, 6L, 4L, 4L, 5L, 7L, 8L, 5L, 5L, 5L, 6L, 3L, 
    8L, 3L, 7L, 7L, 8L, 6L, 4L, 6L, 5L, 8L, 4L, 4L, 6L, 8L, 6L, 
    6L, 3L, 8L, NA, 3L, 8L, 4L, 7L, 4L, 7L, 4L, 7L, 4L, 8L, 6L, 
    8L, 7L, 3L, 6L, 7L, 5L, 5L, 3L, 5L, 5L, 5L, 3L, 8L, 6L, 3L, 
    3L, 3L, 5L, 4L, 8L, 6L, 6L, 8L, 4L, 5L, 8L, 5L, 7L, 7L, 6L, 
    4L, 4L, 7L, 6L, 6L, 3L, 8L, 8L, 4L, 3L, 5L, 6L, 6L, 6L, 4L, 
    7L, 5L, 3L, 7L, 4L, 7L, 4L, 3L, 3L, 8L, 4L, 3L, 3L, 3L, 6L, 
    5L, 7L, 6L, 3L, 3L, 6L, 7L, 6L, 6L, 3L, 7L, 5L, 5L, 8L, 6L, 
    7L, 3L, 5L, 3L, 8L, 7L, 4L, 7L, 8L, 4L, 4L, 3L, 4L, 3L, 5L, 
    4L, 5L, 4L, 5L, 3L, 6L, 3L, 7L, 6L, 3L, 7L, 3L, 5L, 4L, 6L, 
    5L, NA, 3L, 4L, 4L, 5L, 8L, 3L, 4L, 3L, 7L, 3L, 4L, 6L, 3L, 
    8L, 8L, 5L, 5L, 5L, 7L, 6L, NA, 8L, NA, 7L, 7L, 6L, 4L, 7L, 
    4L, 5L, 8L, 5L, NA, 3L, 4L, 5L, 3L, 5L, 7L, 5L, 4L, 8L, 8L, 
    6L, 7L, 4L, 7L, 3L, 8L, 6L, 7L, 5L, 3L, 5L, 5L, 7L, 5L, 5L, 
    6L, 4L, 4L, 4L, 5L, 6L, 5L, NA, 4L, 5L, 6L, 4L, 6L, 6L, NA, 
    6L, 6L, 6L, 3L, 7L, 3L, 5L, 5L, 6L, NA, 6L, 5L, 7L, 6L, 6L, 
    8L, 4L, NA, 5L, 4L, 7L, 5L, 6L, 7L, 6L, 5L, 5L, 8L, 3L, 3L, 
    3L, 8L, 8L, NA, 3L, 5L, 5L, 8L, 4L, 7L, 3L, 5L, 6L, 8L, NA, 
    NA, NA, 4L, 4L, 6L, 8L, 6L, 6L, 5L, 4L, 3L, 5L, 5L, 7L, 3L, 
    5L, 7L, 3L, 4L, 6L, 5L, 6L, NA, 6L, 8L, 5L, 4L, NA, 3L, 6L, 
    5L, 5L, 6L, 4L, 5L, 6L, 6L, 6L, 7L, 7L, 4L, 6L, 4L, 5L, 3L, 
    6L, 8L, 6L, 5L, 7L, 6L, 6L, 6L, 8L, 5L, 8L, 7L, 6L, 4L, 4L, 
    NA, NA, 5L, 6L, 8L, 7L, 3L, 4L, 6L, 5L, 8L, 4L, 5L, 5L, 7L, 
    4L, 4L, 6L, 7L, 3L, 3L, 8L, 6L, 5L, 3L, 5L, 6L, 5L, 6L, 5L, 
    6L, 6L, 7L, 3L, 6L, 7L, 7L, 5L, 4L, 6L, 6L, NA, 7L, 5L, 8L, 
    3L, 3L, 3L, 4L, 7L, 4L, 6L, 5L, 7L, 5L, 8L, 3L, 6L, 4L, 4L
    ), .Label = c(" 0-9", " 10-19", " 20-29", " 30-39", " 40-49", 
    " 50-59", " 60-69", " 70+"), class = "factor"), AgeMonths = c(NA, 
    NA, 561L, NA, NA, 471L, NA, NA, 260L, NA, 697L, NA, 627L, 
    418L, NA, 620L, NA, 845L, 741L, NA, 855L, 897L, NA, NA, 795L, 
    NA, NA, NA, NA, NA, NA, NA, 867L, 385L, 362L, NA, NA, 787L, 
    774L, NA, NA, NA, NA, 949L, 552L, 541L, NA, NA, 783L, NA, 
    561L, NA, NA, NA, NA, 800L, NA, 951L, NA, 691L, NA, NA, NA, 
    NA, NA, NA, NA, 422L, 313L, NA, NA, 600L, 530L, 574L, NA, 
    885L, NA, 598L, 777L, NA, 653L, NA, NA, 913L, 794L, NA, 471L, 
    767L, 486L, NA, NA, 609L, NA, NA, 674L, 327L, 267L, 533L, 
    604L, NA, NA, NA, 485L, 720L, NA, NA, 286L, NA, 516L, 577L, 
    255L, NA, NA, NA, 676L, 452L, NA, 527L, 783L, NA, 599L, 490L, 
    520L, NA, 346L, NA, 359L, NA, 806L, NA, NA, 459L, NA, 497L, 
    NA, 373L, 364L, 684L, NA, NA, 645L, NA, 853L, NA, NA, NA, 
    473L, 748L, NA, 742L, 476L, NA, 466L, NA, 625L, NA, 815L, 
    NA, 606L, NA, 551L, NA, 347L, NA, 585L, NA, 336L, NA, 683L, 
    NA, NA, NA, NA, NA, 873L, 665L, NA, NA, NA, 547L, 900L, NA, 
    NA, 802L, NA, 449L, 375L, 730L, 625L, NA, NA, 856L, 863L, 
    469L, NA, NA, NA, 658L, NA, 478L, NA, 537L, 317L, 722L, NA, 
    NA, NA, NA, NA, 867L, 471L, NA, NA, NA, NA, NA, NA, 715L, 
    NA, NA, NA, NA, 625L, NA, NA, NA, 486L, 480L, NA, 660L, NA, 
    288L, NA, NA, 914L, NA, 445L, 752L, NA, 441L, 426L, 304L, 
    NA, NA, 518L, NA, NA, 462L, 571L, NA, NA, 315L, 749L, NA, 
    NA, NA, 357L, 598L, NA, 701L, NA, NA, 271L, NA, 447L, NA, 
    853L, NA, NA, NA, 748L, NA, 388L, 625L, 261L, 928L, 920L, 
    NA, NA, 487L, NA, 645L, NA, 849L, NA, NA, 771L, NA, 473L, 
    744L, 397L, 497L, 852L, NA, NA, NA, 418L, NA, 252L, NA, NA, 
    NA, NA, NA, NA, NA, 804L, 397L, NA, 255L, 891L, NA, 820L, 
    NA, 335L, NA, 598L, 789L, NA, NA, NA, 449L, NA, NA, 586L, 
    NA, NA, NA, 475L, NA, NA, 424L, 683L, 640L, NA, 682L, NA, 
    NA, 281L, 726L, 337L, NA, 496L, NA, NA, NA, NA, 792L, NA, 
    675L, 890L, NA, NA, 529L, 373L, 825L, NA, 692L, NA, 672L, 
    513L, 529L, NA, NA, 267L, 261L, 959L, 849L, NA, 355L, NA, 
    546L, NA, NA, 777L, NA, 575L, 692L, NA, NA, NA, NA, 392L, 
    363L, NA, 937L, 704L, NA, 582L, 411L, 296L, NA, NA, NA, 296L, 
    501L, 827L, 337L, NA, NA, NA, NA, NA, NA, 915L, NA, NA, NA, 
    NA, 633L, 564L, 536L, 657L, NA, NA, NA, NA, NA, 834L, 827L, 
    469L, NA, 387L, NA, 253L, NA, 888L, NA, NA, 780L, 624L, NA, 
    NA, 908L, NA, NA, 756L, NA, 381L, NA, NA, NA, 585L, NA, 889L, 
    786L, NA, 406L, 719L, 581L, 884L, 376L, NA, 584L, NA, NA, 
    368L, 684L, NA, 358L, NA, 867L, NA, 566L, NA, 530L, NA, 556L, 
    NA, NA, NA, 705L, NA, 281L, NA, NA, NA, 571L, NA, 646L, NA, 
    NA, 812L, NA, 912L, 272L, NA, NA, 367L, 721L, 446L, 670L, 
    509L, 776L, 586L, 879L, NA, NA, NA, 459L), Race1 = structure(c(4L, 
    1L, 4L, 4L, 4L, 1L, 3L, 4L, 1L, 4L, 5L, 4L, 4L, 2L, 5L, 1L, 
    4L, 4L, 2L, 4L, 3L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 
    5L, 4L, 2L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 1L, 
    4L, 4L, 4L, 4L, 4L, 4L, 5L, 2L, 4L, 4L, 4L, 4L, 1L, 4L, 1L, 
    4L, 4L, 1L, 2L, 4L, 2L, 2L, 1L, 2L, 4L, 4L, 4L, 4L, 4L, 1L, 
    2L, 4L, 4L, 4L, 1L, 4L, 4L, 1L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 
    4L, 1L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 
    4L, 4L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 2L, 4L, 
    1L, 4L, 2L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 
    3L, 4L, 4L, 1L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 1L, 
    4L, 4L, 4L, 4L, 4L, 3L, 4L, 1L, 1L, 5L, 4L, 4L, 4L, 4L, 5L, 
    3L, 4L, 1L, 4L, 4L, 5L, 4L, 1L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 
    4L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    3L, 4L, 1L, 4L, 4L, 3L, 5L, 4L, 4L, 1L, 1L, 5L, 4L, 4L, 4L, 
    2L, 4L, 4L, 4L, 3L, 5L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 5L, 4L, 1L, 4L, 2L, 
    4L, 4L, 4L, 1L, 4L, 4L, 4L, 5L, 4L, 1L, 5L, 4L, 3L, 5L, 4L, 
    1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 3L, 4L, 4L, 2L, 2L, 3L, 4L, 
    4L, 1L, 4L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 3L, 2L, 5L, 4L, 4L, 3L, 4L, 1L, 4L, 4L, 5L, 4L, 4L, 
    4L, 4L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 
    1L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 
    2L, 4L, 3L, 4L, 4L, 1L, 1L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 
    2L, 4L, 3L, 1L, 4L, 4L, 4L, 1L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 5L, 3L, 4L, 4L, 1L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 1L, 4L, 1L, 3L, 
    2L, 4L, 4L, 4L, 4L, 3L, 4L, 1L, 5L, 4L, 1L, 4L, 1L, 3L, 1L, 
    4L, 3L, 4L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 1L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 2L, 4L, 4L, 1L, 4L, 5L, 1L, 2L, 4L, 1L, 3L, 
    4L, 4L, 4L, 4L, 4L, 1L, 1L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 
    4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 4L, 1L, 4L, 3L, 4L, 4L, 4L, 
    4L, 4L, 4L, 4L), .Label = c("Black", "Hispanic", "Mexican", 
    "White", "Other"), class = "factor"), Race3 = structure(c(5L, 
    2L, NA, 5L, 5L, NA, 4L, 5L, NA, NA, NA, 5L, NA, NA, 6L, NA, 
    5L, NA, NA, 5L, NA, NA, 5L, 5L, NA, 5L, 5L, 5L, 5L, 5L, 4L, 
    1L, NA, NA, NA, 1L, 5L, NA, NA, 5L, 5L, 5L, 5L, NA, NA, NA, 
    5L, 5L, NA, 5L, NA, 5L, 1L, 3L, 5L, NA, 5L, NA, 2L, NA, 2L, 
    5L, 5L, 2L, 3L, 5L, 3L, NA, NA, 3L, 5L, NA, NA, NA, 5L, NA, 
    3L, NA, NA, 5L, NA, 5L, 5L, NA, NA, 5L, NA, NA, NA, 5L, 5L, 
    NA, 2L, 5L, NA, NA, NA, NA, NA, 5L, 5L, 5L, NA, NA, 5L, 5L, 
    NA, NA, NA, NA, NA, 4L, 5L, 5L, NA, NA, 4L, NA, NA, 3L, NA, 
    NA, NA, 3L, NA, 5L, NA, 5L, NA, 5L, 5L, NA, 5L, NA, 5L, NA, 
    NA, NA, 5L, 2L, NA, 4L, NA, 5L, 5L, 5L, NA, NA, 1L, NA, NA, 
    5L, NA, 5L, NA, 5L, NA, 5L, NA, 2L, NA, 5L, NA, 5L, NA, 1L, 
    NA, 5L, NA, 5L, 5L, 1L, 5L, 2L, NA, NA, 5L, 5L, 4L, NA, NA, 
    5L, 5L, NA, 2L, NA, NA, NA, NA, 5L, 5L, NA, NA, NA, 5L, 5L, 
    4L, NA, 2L, NA, 5L, NA, NA, NA, 5L, 2L, 2L, 6L, 5L, NA, NA, 
    3L, 5L, 5L, 5L, 4L, 6L, NA, 5L, 4L, 5L, 5L, NA, 5L, 5L, 5L, 
    NA, NA, 5L, NA, 5L, NA, 5L, 5L, NA, 2L, NA, NA, 2L, NA, NA, 
    NA, 5L, 5L, NA, 5L, 5L, NA, NA, 5L, 2L, NA, NA, 4L, 1L, 5L, 
    NA, NA, 2L, NA, 2L, NA, NA, 2L, NA, 5L, NA, 3L, 3L, 4L, NA, 
    5L, NA, NA, NA, NA, NA, 5L, 5L, NA, 5L, NA, 5L, NA, NA, 5L, 
    NA, 5L, NA, NA, NA, NA, NA, 4L, NA, 2L, NA, 5L, NA, 5L, 5L, 
    5L, 5L, 2L, 5L, 5L, NA, NA, 5L, NA, NA, 5L, NA, 5L, NA, 5L, 
    NA, NA, 5L, 5L, 5L, NA, 5L, 4L, NA, 5L, 5L, 5L, NA, 5L, 5L, 
    NA, NA, NA, NA, NA, 2L, 2L, NA, NA, NA, 5L, NA, 5L, NA, 5L, 
    3L, NA, 4L, NA, NA, 5L, NA, NA, NA, NA, 5L, NA, 5L, NA, NA, 
    NA, 5L, 5L, NA, NA, NA, NA, 5L, NA, 4L, NA, 5L, 2L, NA, 5L, 
    NA, NA, 5L, NA, NA, 5L, NA, NA, 5L, NA, NA, 5L, NA, NA, NA, 
    5L, 5L, 5L, NA, NA, NA, NA, 5L, 5L, 5L, 5L, NA, 5L, NA, 4L, 
    3L, NA, 5L, NA, NA, NA, NA, 2L, 1L, 5L, 2L, 5L, NA, NA, NA, 
    5L, NA, 5L, NA, 5L, NA, 5L, 5L, NA, NA, 5L, 2L, NA, 5L, 5L, 
    NA, 5L, NA, 5L, 3L, NA, NA, 2L, NA, NA, 2L, NA, NA, NA, NA, 
    NA, 5L, NA, 5L, 5L, NA, NA, 5L, NA, 5L, NA, 5L, NA, 5L, NA, 
    5L, NA, 4L, 5L, 5L, NA, 5L, NA, 5L, 5L, 5L, NA, 5L, NA, 5L, 
    NA, NA, 5L, NA, NA, 5L, 5L, NA, NA, NA, NA, NA, NA, NA, NA, 
    5L, 5L, 5L, NA), .Label = c("Asian", "Black", "Hispanic", 
    "Mexican", "White", "Other"), class = "factor"), Education = structure(c(2L, 
    5L, 4L, 4L, 5L, 4L, 1L, 5L, 4L, 4L, 4L, 4L, 2L, 4L, 3L, 2L, 
    3L, 5L, 5L, 5L, 1L, 3L, 2L, 3L, 1L, 5L, 2L, 1L, 5L, 5L, 1L, 
    4L, 4L, 5L, 2L, 4L, 5L, 5L, 3L, 4L, 5L, 4L, 5L, 5L, 4L, 4L, 
    5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 3L, 2L, 3L, NA, 3L, 4L, 4L, 
    5L, 5L, 5L, 4L, 4L, 4L, 4L, 3L, 4L, 5L, 5L, 4L, 5L, 4L, 5L, 
    4L, 3L, 5L, 3L, 4L, 4L, 3L, 2L, 5L, 4L, 1L, 3L, 5L, 5L, 3L, 
    4L, 4L, 4L, 5L, 3L, 1L, 4L, 1L, 4L, 4L, 4L, 1L, 4L, 3L, 3L, 
    4L, 5L, 5L, 4L, 3L, 2L, 4L, 5L, 2L, 4L, 4L, 3L, 5L, 2L, 3L, 
    3L, 4L, 3L, 2L, 2L, 5L, 5L, 5L, 2L, 4L, 5L, 5L, 5L, 5L, 1L, 
    3L, 3L, 3L, 5L, 5L, 2L, 2L, 5L, 5L, 4L, 5L, 4L, 5L, 3L, 3L, 
    3L, 5L, 4L, 5L, 4L, 1L, 4L, 5L, 5L, 2L, 3L, 5L, 5L, 5L, 2L, 
    3L, 4L, 4L, 3L, 4L, 5L, 3L, 4L, 4L, 5L, 1L, 5L, 1L, 5L, 4L, 
    4L, 4L, 4L, 5L, 4L, 3L, 5L, 5L, 4L, 4L, 3L, 2L, 5L, 4L, 5L, 
    1L, 5L, 3L, 5L, 2L, 1L, 4L, 3L, 4L, 3L, 5L, 4L, 5L, 4L, 4L, 
    3L, 5L, 4L, 5L, 1L, 4L, 5L, 5L, 3L, 5L, 5L, 5L, 2L, 4L, 4L, 
    5L, 4L, 5L, 5L, 5L, 3L, 5L, 5L, 2L, 4L, 5L, 1L, 4L, 5L, 3L, 
    2L, 4L, 5L, 3L, 3L, 4L, 5L, 3L, 4L, 5L, 5L, 4L, 1L, 5L, 4L, 
    5L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 4L, 4L, 4L, 4L, 2L, 3L, 4L, 
    4L, 4L, 5L, 3L, 4L, 2L, 2L, 3L, 4L, 4L, 4L, 3L, 5L, 2L, 5L, 
    5L, 5L, 5L, 3L, 5L, 5L, 3L, 2L, 4L, 4L, 5L, 5L, 2L, 5L, 5L, 
    3L, 5L, 4L, 3L, 3L, 3L, 5L, 5L, 4L, 2L, 5L, 2L, 5L, 4L, 3L, 
    2L, 3L, 3L, 2L, 5L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 5L, 5L, 3L, 
    3L, 5L, 1L, 1L, 2L, 4L, 2L, 5L, 2L, 3L, 5L, 5L, 3L, 2L, 4L, 
    1L, 5L, 5L, 3L, 2L, 4L, 5L, 4L, 1L, 2L, 4L, 3L, 4L, 3L, 3L, 
    5L, 1L, 4L, 4L, 4L, 3L, 4L, 3L, 5L, 3L, 2L, 5L, 4L, 4L, 5L, 
    4L, 2L, 3L, 4L, 3L, 1L, 4L, 5L, 2L, 2L, 5L, 5L, 3L, 5L, 4L, 
    3L, 5L, 5L, 5L, 4L, 4L, 4L, 2L, 5L, 5L, 4L, 4L, 3L, 2L, 5L, 
    1L, 2L, 4L, 2L, 4L, 2L, 5L, 2L, 5L, 5L, 5L, 2L, 4L, 1L, 4L, 
    4L, 2L, 4L, 3L, 4L, 5L, 5L, 4L, 2L, 3L, 4L, 5L, 5L, 3L, 2L, 
    4L, 5L, 1L, 4L, 3L, 4L, 4L, 4L, 3L, 1L, 4L, 4L, 3L, 2L, 1L, 
    3L, 4L, 2L, 3L, 5L, 3L, 5L, 5L, 3L, 2L, 4L, 4L, 3L, 3L, 4L, 
    5L, 5L, 3L, 4L, 4L, 5L, 5L, 3L, 2L, 5L, 4L, 3L, 5L, 3L, 3L, 
    2L, 4L, 2L, 2L, 5L, 5L, 4L, 2L, 5L, 2L, 5L, 1L, 4L, 5L, 4L, 
    4L, 3L, 5L, 5L), .Label = c("8th Grade", "9 - 11th Grade", 
    "High School", "Some College", "College Grad"), class = "factor"), 
    MaritalStatus = structure(c(1L, 5L, 3L, 4L, 1L, 4L, 3L, 3L, 
    2L, 1L, 1L, 2L, 3L, 3L, 4L, 5L, 3L, 3L, 2L, 3L, 6L, 3L, 3L, 
    3L, 1L, 3L, 3L, 6L, 4L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 1L, 
    3L, 1L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 1L, 4L, 3L, 
    6L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 3L, 
    4L, 4L, 1L, 3L, 3L, 3L, 1L, 3L, 2L, 2L, 3L, 3L, 4L, 6L, 3L, 
    3L, 6L, 3L, 3L, 3L, 3L, 4L, 6L, 1L, 5L, 1L, 3L, 4L, 3L, 4L, 
    3L, 1L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 2L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 5L, 4L, 1L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 6L, 3L, 4L, 4L, 3L, 
    6L, 4L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 5L, 
    4L, 6L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 1L, 3L, 2L, 4L, 4L, 3L, 
    2L, 3L, 1L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 4L, 
    3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 
    3L, 3L, 1L, 4L, 4L, 2L, 3L, 3L, 2L, 3L, 4L, 3L, 3L, 2L, 3L, 
    3L, 4L, 3L, 3L, 3L, 6L, 3L, 3L, 2L, 1L, 3L, 3L, 3L, 3L, 4L, 
    4L, 6L, 5L, 2L, 6L, 3L, 3L, 2L, 4L, 3L, 4L, 3L, 1L, 1L, 3L, 
    1L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 1L, 3L, 3L, 4L, 
    4L, 1L, 3L, 3L, 4L, 5L, 2L, 3L, 4L, 1L, 3L, 4L, 6L, 3L, 6L, 
    1L, 3L, 6L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 6L, 
    3L, 6L, 4L, 3L, 4L, 4L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 
    3L, 5L, 6L, 3L, 6L, 1L, 4L, 3L, 4L, 4L, 1L, 4L, 3L, 3L, 4L, 
    3L, 4L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 4L, 1L, 6L, 3L, 3L, 4L, 
    4L, 6L, 3L, 4L, 4L, 3L, 3L, 1L, 1L, 3L, 5L, 5L, 3L, 2L, 3L, 
    2L, 2L, 2L, 3L, 3L, 1L, 3L, 3L, 3L, 6L, 4L, 4L, 4L, 3L, 3L, 
    6L, 4L, 3L, 3L, 3L, 5L, 1L, 3L, 2L, 4L, 4L, 6L, 3L, 1L, 4L, 
    4L, 1L, 3L, 5L, 3L, 2L, 3L, 1L, 4L, 3L, 3L, 4L, 3L, 3L, 4L, 
    3L, 1L, 2L, 3L, 6L, 1L, 6L, 3L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 
    4L, 3L, 3L, 3L, 3L, 1L, 6L, 3L, 3L, 3L, 3L, 4L, 1L, 3L, 1L, 
    3L, 3L, 3L, 3L, 3L, 3L, 1L, 2L, 1L, 5L, 2L, 4L, 1L, 4L, 3L, 
    3L, 3L, 3L, 4L, 4L, 3L, 2L, 3L, 2L, 3L, 3L, 6L, 3L, 5L, 3L, 
    4L, 2L, 2L, 3L, 2L, 3L, 3L, 5L, 3L, 1L, 3L, 3L, 3L, 4L, 6L, 
    3L, 2L, 3L, 3L, 3L, 3L, 4L, 2L, 6L, 3L, 4L, 3L, 4L, 3L, 2L, 
    2L, 4L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L), .Label = c("Divorced", 
    "LivePartner", "Married", "NeverMarried", "Separated", "Widowed"
    ), class = "factor"), HHIncome = structure(c(3L, 7L, 12L, 
    12L, 7L, NA, 8L, 12L, 8L, 7L, 3L, NA, 11L, NA, 3L, 3L, 12L, 
    8L, 12L, 12L, NA, 6L, 8L, 12L, 3L, 12L, 6L, 12L, 11L, 6L, 
    6L, 5L, 7L, 7L, 9L, NA, 12L, 9L, 6L, 12L, 2L, 8L, 12L, 7L, 
    10L, 11L, 12L, 12L, 12L, 12L, 12L, 1L, 10L, 6L, 11L, 6L, 
    5L, 7L, 8L, 9L, 10L, NA, 12L, 11L, 12L, 3L, NA, 11L, 1L, 
    11L, 8L, 12L, 11L, 12L, 12L, 3L, 12L, 1L, 12L, 7L, 3L, 10L, 
    7L, 9L, 12L, 12L, 5L, NA, 11L, 8L, 6L, 1L, 6L, 8L, 10L, 2L, 
    1L, 8L, 7L, 9L, 10L, 7L, 6L, 12L, 11L, 7L, 2L, 11L, NA, 12L, 
    2L, NA, 6L, 10L, 12L, 8L, 7L, 12L, 12L, NA, 12L, 4L, 7L, 
    6L, 5L, 4L, 12L, 12L, 6L, 8L, 11L, 12L, 12L, 12L, NA, 5L, 
    6L, 7L, 3L, 12L, 11L, 4L, 6L, 7L, 8L, NA, 11L, 1L, 11L, 10L, 
    NA, 3L, 8L, 10L, 12L, 12L, 7L, 3L, NA, 6L, 9L, NA, 7L, 12L, 
    9L, 12L, NA, 2L, 3L, 9L, 8L, NA, 11L, 7L, 11L, 7L, 4L, 6L, 
    6L, 11L, 8L, 4L, 7L, 8L, 12L, 6L, 7L, 6L, 11L, 6L, 3L, 7L, 
    8L, 8L, 5L, 12L, 5L, 12L, 11L, 7L, 8L, 6L, 12L, 12L, 9L, 
    7L, 9L, 6L, 12L, 7L, 12L, 5L, 8L, 8L, 12L, NA, 12L, 10L, 
    12L, 7L, 12L, 9L, 12L, 5L, 12L, 12L, 12L, 12L, 11L, 12L, 
    11L, 4L, 11L, 11L, NA, 3L, 9L, 4L, 9L, NA, 9L, 4L, 12L, 8L, 
    10L, 7L, 10L, 11L, 6L, 8L, NA, 12L, 10L, 7L, 11L, 6L, 11L, 
    4L, 12L, 9L, 11L, 7L, 12L, 5L, 6L, 6L, 8L, 11L, NA, 7L, 11L, 
    12L, 7L, 9L, 3L, NA, 8L, 4L, 6L, 7L, 8L, 12L, 12L, 11L, 9L, 
    12L, 11L, 12L, 12L, 5L, 11L, 12L, 4L, 6L, 7L, 7L, 12L, NA, 
    12L, 6L, 12L, 8L, 12L, 7L, 12L, 12L, 7L, NA, 5L, 12L, 6L, 
    12L, 6L, 12L, 10L, 11L, 4L, 4L, 8L, NA, 12L, 1L, 3L, 5L, 
    5L, 10L, 9L, 5L, 12L, 12L, 10L, 6L, 11L, NA, 5L, 12L, NA, 
    5L, NA, 4L, 8L, NA, 4L, 7L, 6L, 5L, NA, 8L, 4L, 10L, 11L, 
    6L, 10L, 11L, 6L, 6L, 12L, 9L, 12L, 9L, 3L, 11L, 9L, 3L, 
    3L, 12L, 10L, 7L, 7L, 9L, 9L, 3L, 9L, 6L, NA, 6L, 6L, NA, 
    4L, 2L, 10L, 3L, 3L, 4L, 6L, 8L, 12L, 12L, 3L, 12L, 6L, 12L, 
    12L, 10L, 10L, 12L, 6L, 6L, 11L, 4L, 12L, 11L, 3L, 8L, 8L, 
    6L, 3L, NA, 6L, 3L, 11L, 2L, 12L, NA, NA, 12L, NA, 7L, 4L, 
    7L, 9L, 12L, 6L, 11L, 4L, 7L, 11L, 12L, 10L, NA, 4L, NA, 
    12L, 10L, 6L, 11L, 6L, 6L, 6L, 12L, 3L, 8L, 8L, 10L, NA, 
    12L, 6L, 4L, 9L, 3L, 4L, 6L, 8L, 11L, 3L, 12L, 7L, 12L, 9L, 
    11L, 6L, 12L, 11L, 8L, 12L, 7L, 12L, 8L, 5L, 5L, 12L, 11L, 
    6L, 11L, 4L, 7L, 6L, 9L, 12L, 2L, 12L, 9L, 12L, 12L, 8L, 
    5L, 8L, 6L, 8L, NA, 7L, 12L, 6L, 8L, 12L, 7L, 12L, 10L, 12L, 
    11L), .Label = c(" 0-4999", " 5000-9999", "10000-14999", 
    "15000-19999", "20000-24999", "25000-34999", "35000-44999", 
    "45000-54999", "55000-64999", "65000-74999", "75000-99999", 
    "more 99999"), class = "factor"), HHIncomeMid = c(12500L, 
    40000L, 100000L, 100000L, 40000L, NA, 50000L, 100000L, 50000L, 
    40000L, 12500L, NA, 87500L, NA, 12500L, 12500L, 100000L, 
    50000L, 100000L, 100000L, NA, 30000L, 50000L, 100000L, 12500L, 
    100000L, 30000L, 100000L, 87500L, 30000L, 30000L, 22500L, 
    40000L, 40000L, 60000L, NA, 100000L, 60000L, 30000L, 100000L, 
    7500L, 50000L, 100000L, 40000L, 70000L, 87500L, 100000L, 
    100000L, 100000L, 100000L, 100000L, 2500L, 70000L, 30000L, 
    87500L, 30000L, 22500L, 40000L, 50000L, 60000L, 70000L, NA, 
    100000L, 87500L, 100000L, 12500L, NA, 87500L, 2500L, 87500L, 
    50000L, 100000L, 87500L, 100000L, 100000L, 12500L, 100000L, 
    2500L, 100000L, 40000L, 12500L, 70000L, 40000L, 60000L, 100000L, 
    100000L, 22500L, NA, 87500L, 50000L, 30000L, 2500L, 30000L, 
    50000L, 70000L, 7500L, 2500L, 50000L, 40000L, 60000L, 70000L, 
    40000L, 30000L, 100000L, 87500L, 40000L, 7500L, 87500L, NA, 
    100000L, 7500L, NA, 30000L, 70000L, 100000L, 50000L, 40000L, 
    100000L, 100000L, NA, 100000L, 17500L, 40000L, 30000L, 22500L, 
    17500L, 100000L, 100000L, 30000L, 50000L, 87500L, 100000L, 
    100000L, 100000L, NA, 22500L, 30000L, 40000L, 12500L, 100000L, 
    87500L, 17500L, 30000L, 40000L, 50000L, NA, 87500L, 2500L, 
    87500L, 70000L, NA, 12500L, 50000L, 70000L, 100000L, 100000L, 
    40000L, 12500L, NA, 30000L, 60000L, NA, 40000L, 100000L, 
    60000L, 100000L, NA, 7500L, 12500L, 60000L, 50000L, NA, 87500L, 
    40000L, 87500L, 40000L, 17500L, 30000L, 30000L, 87500L, 50000L, 
    17500L, 40000L, 50000L, 100000L, 30000L, 40000L, 30000L, 
    87500L, 30000L, 12500L, 40000L, 50000L, 50000L, 22500L, 100000L, 
    22500L, 100000L, 87500L, 40000L, 50000L, 30000L, 100000L, 
    100000L, 60000L, 40000L, 60000L, 30000L, 100000L, 40000L, 
    100000L, 22500L, 50000L, 50000L, 100000L, NA, 100000L, 70000L, 
    100000L, 40000L, 100000L, 60000L, 100000L, 22500L, 100000L, 
    100000L, 100000L, 100000L, 87500L, 100000L, 87500L, 17500L, 
    87500L, 87500L, NA, 12500L, 60000L, 17500L, 60000L, NA, 60000L, 
    17500L, 100000L, 50000L, 70000L, 40000L, 70000L, 87500L, 
    30000L, 50000L, NA, 100000L, 70000L, 40000L, 87500L, 30000L, 
    87500L, 17500L, 100000L, 60000L, 87500L, 40000L, 100000L, 
    22500L, 30000L, 30000L, 50000L, 87500L, NA, 40000L, 87500L, 
    100000L, 40000L, 60000L, 12500L, NA, 50000L, 17500L, 30000L, 
    40000L, 50000L, 100000L, 100000L, 87500L, 60000L, 100000L, 
    87500L, 100000L, 100000L, 22500L, 87500L, 100000L, 17500L, 
    30000L, 40000L, 40000L, 100000L, NA, 100000L, 30000L, 100000L, 
    50000L, 100000L, 40000L, 100000L, 100000L, 40000L, NA, 22500L, 
    100000L, 30000L, 100000L, 30000L, 100000L, 70000L, 87500L, 
    17500L, 17500L, 50000L, NA, 100000L, 2500L, 12500L, 22500L, 
    22500L, 70000L, 60000L, 22500L, 100000L, 100000L, 70000L, 
    30000L, 87500L, NA, 22500L, 100000L, NA, 22500L, NA, 17500L, 
    50000L, NA, 17500L, 40000L, 30000L, 22500L, NA, 50000L, 17500L, 
    70000L, 87500L, 30000L, 70000L, 87500L, 30000L, 30000L, 100000L, 
    60000L, 100000L, 60000L, 12500L, 87500L, 60000L, 12500L, 
    12500L, 100000L, 70000L, 40000L, 40000L, 60000L, 60000L, 
    12500L, 60000L, 30000L, NA, 30000L, 30000L, NA, 17500L, 7500L, 
    70000L, 12500L, 12500L, 17500L, 30000L, 50000L, 100000L, 
    100000L, 12500L, 100000L, 30000L, 100000L, 100000L, 70000L, 
    70000L, 100000L, 30000L, 30000L, 87500L, 17500L, 100000L, 
    87500L, 12500L, 50000L, 50000L, 30000L, 12500L, NA, 30000L, 
    12500L, 87500L, 7500L, 100000L, NA, NA, 100000L, NA, 40000L, 
    17500L, 40000L, 60000L, 100000L, 30000L, 87500L, 17500L, 
    40000L, 87500L, 100000L, 70000L, NA, 17500L, NA, 100000L, 
    70000L, 30000L, 87500L, 30000L, 30000L, 30000L, 100000L, 
    12500L, 50000L, 50000L, 70000L, NA, 100000L, 30000L, 17500L, 
    60000L, 12500L, 17500L, 30000L, 50000L, 87500L, 12500L, 100000L, 
    40000L, 100000L, 60000L, 87500L, 30000L, 100000L, 87500L, 
    50000L, 100000L, 40000L, 100000L, 50000L, 22500L, 22500L, 
    100000L, 87500L, 30000L, 87500L, 17500L, 40000L, 30000L, 
    60000L, 100000L, 7500L, 100000L, 60000L, 100000L, 100000L, 
    50000L, 22500L, 50000L, 30000L, 50000L, NA, 40000L, 100000L, 
    30000L, 50000L, 100000L, 40000L, 100000L, 70000L, 100000L, 
    87500L), Poverty = c(0.94999999999999996, 1.74, 4.9900000000000002, 
    4.1399999999999997, 2.1600000000000001, NA, 3.2999999999999998, 
    5, 0.92000000000000004, 3.5099999999999998, 1.1100000000000001, 
    NA, 5, NA, 1.29, 0.28000000000000003, 5, 1.9399999999999999, 
    5, 5, NA, 1.9199999999999999, 3.3999999999999999, 5, 0.71999999999999997, 
    5, 1.7, 0.85999999999999999, 4.9199999999999999, 2.8599999999999999, 
    0.85999999999999999, 0.89000000000000001, 2.3999999999999999, 
    1.55, 2.4900000000000002, NA, 5, 3.8399999999999999, 2.0600000000000001, 
    0.79000000000000004, 0.46000000000000002, 3.4700000000000002, 
    4.0700000000000003, 2.02, 3.8199999999999998, 4.9199999999999999, 
    5, 5, 5, 5, 5, 0.10000000000000001, 2.4100000000000001, 2.8900000000000001, 
    3.1600000000000001, 2.4900000000000002, 1.8799999999999999, 
    2.4700000000000002, 1.8500000000000001, 4.1200000000000001, 
    4.7599999999999998, NA, 5, 4.0300000000000002, 5, 0.17999999999999999, 
    NA, 5, 0.22, 3.5800000000000001, 2.04, 5, 4.3700000000000001, 
    5, 0.79000000000000004, 0.81999999999999995, 5, 0.059999999999999998, 
    5, 2.6400000000000001, 1.24, 4.8899999999999997, 2.4500000000000002, 
    3.77, 5, 5, 1, NA, 3.3999999999999999, 3.4700000000000002, 
    2.6899999999999999, 0, 1.1599999999999999, 2.1699999999999999, 
    4.7999999999999998, 0.73999999999999999, 0.089999999999999997, 
    4.1600000000000001, 1.9299999999999999, 3.9700000000000002, 
    3.5099999999999998, 0.90000000000000002, 1.1200000000000001, 
    5, 4.1900000000000004, 2.6400000000000001, 0.53000000000000003, 
    5, 2.1499999999999999, 5, 0.68000000000000005, NA, 1.98, 
    4.2999999999999998, 5, 2.5099999999999998, 1.49, 5, 5, NA, 
    5, 0.92000000000000004, 1.72, 1.5700000000000001, 0, 1.48, 
    5, 5, 1.5800000000000001, 3.3999999999999999, 4.0300000000000002, 
    4.54, 5, 5, 2.5099999999999998, 0.78000000000000003, 0.85999999999999999, 
    1.9299999999999999, 1.1200000000000001, 5, 5, 0.60999999999999999, 
    1.78, 3.4900000000000002, 3.5699999999999998, NA, 4.1299999999999999, 
    0.25, 4.71, 4.6699999999999999, NA, 0.72999999999999998, 
    4.4299999999999997, 4.2999999999999998, 5, 5, 2.75, 0.37, 
    NA, 2.75, 2.0299999999999998, NA, 1.3600000000000001, 5, 
    2.1299999999999999, 5, NA, 0.82999999999999996, 0.81999999999999995, 
    2.2400000000000002, 2.6200000000000001, NA, 2.96, 1.8300000000000001, 
    4.9199999999999999, 3.23, 1.47, 2.1499999999999999, 0.85999999999999999, 
    4.1699999999999999, 3.4300000000000002, 1.1599999999999999, 
    2.6400000000000001, 3.4300000000000002, 5, 2.9500000000000002, 
    1.3600000000000001, 3.1400000000000001, 5, 1.98, 0.93000000000000005, 
    2.75, 3.23, 2.27, 0.20999999999999999, 5, 1.3899999999999999, 
    5, 4.8600000000000003, 1.22, 3.0600000000000001, 1.45, 5, 
    5, 4.0099999999999998, 3.54, 3.7000000000000002, NA, 5, 2.3999999999999999, 
    5, 1.04, 2.9700000000000002, 3.3999999999999999, 5, NA, 2.2999999999999998, 
    3.0800000000000001, 5, 1.53, 5, 3.9700000000000002, 5, 1.52, 
    4.9699999999999998, 5, 3.8799999999999999, 4.2699999999999996, 
    5, 5, 5, 0.60999999999999999, 5, 2.75, NA, 1.1699999999999999, 
    2.5899999999999999, 1.1699999999999999, 3.02, NA, 1.47, 0.81999999999999995, 
    5, 4.4800000000000004, 3.5499999999999998, 2.2000000000000002, 
    4.7599999999999998, 2.71, 1.75, 2.46, NA, 5, 2.9500000000000002, 
    2.25, 3.3999999999999999, 1.75, 3.8500000000000001, 0.78000000000000003, 
    5, 5, 3.4700000000000002, 2.75, 4.8099999999999996, 1.8400000000000001, 
    2.3300000000000001, 1.6499999999999999, 3.4300000000000002, 
    4.6600000000000001, NA, 2.1000000000000001, 5, 3.8900000000000001, 
    3.5099999999999998, 3.2799999999999998, 0.66000000000000003, 
    NA, 3.23, 1, 1.3100000000000001, 1.3200000000000001, 4.4100000000000001, 
    5, 3.3300000000000001, 5, 5, 5, 5, 5, 5, 1.2, 3.4900000000000002, 
    5, 1.3899999999999999, 1.02, 3.6899999999999999, 1.8400000000000001, 
    5, 3.6699999999999999, 4.2699999999999996, 1.3100000000000001, 
    5, 2.8100000000000001, 4.2000000000000002, 3.4900000000000002, 
    5, 5, 2.75, NA, 2.1499999999999999, 5, 2.77, 5, 2.3100000000000001, 
    5, 3.1699999999999999, 2.96, 0.78000000000000003, 1.6599999999999999, 
    3.5699999999999998, NA, 5, 0.080000000000000002, 0.42999999999999999, 
    0.92000000000000004, 0.81000000000000005, 4.7599999999999998, 
    2.6600000000000001, 1.6299999999999999, 5, 5, 2.4199999999999999, 
    1.1799999999999999, 5, 1.4099999999999999, 1.2, 5, NA, 1.6299999999999999, 
    NA, 1.3899999999999999, 2.04, 3.6699999999999999, 1.3899999999999999, 
    2.8599999999999999, 1.9199999999999999, 1.3899999999999999, 
    NA, 3.6000000000000001, 1.3799999999999999, 2.75, 5, 1.7, 
    4.9800000000000004, 4.9199999999999999, 1.1299999999999999, 
    1.8100000000000001, 5, 4.1200000000000001, 5, 3.2799999999999998, 
    1.1100000000000001, 5, 3.2400000000000002, 1.03, 0.68999999999999995, 
    5, 4.46, 2.75, 4.0199999999999996, 5, 2.46, 0.54000000000000004, 
    3.7999999999999998, 0.95999999999999996, NA, 1.6200000000000001, 
    1.8500000000000001, NA, 1.4199999999999999, 0.76000000000000001, 
    4.9400000000000004, 0.90000000000000002, 1.29, 1.3899999999999999, 
    2.6000000000000001, 3.4300000000000002, 5, 5, 0.66000000000000003, 
    5, 1.5, 5, 5, 4.2999999999999998, 3.1699999999999999, 5, 
    1.01, 0.79000000000000004, 4.5, 1.3400000000000001, 5, 5, 
    1.3300000000000001, 4.7800000000000002, 2.1800000000000002, 
    2.9399999999999999, 0.39000000000000001, NA, 1.9299999999999999, 
    0.95999999999999996, 4.0800000000000001, 0.55000000000000004, 
    5, NA, NA, 5, NA, 2.6400000000000001, 1.6299999999999999, 
    2.1299999999999999, 2.0299999999999998, 5, 0.97999999999999998, 
    3.3999999999999999, 0.68000000000000005, 1.97, 4.9199999999999999, 
    5, 4.6299999999999999, NA, 1.24, NA, 3.7000000000000002, 
    4.7999999999999998, 1.98, 5, 2.5899999999999999, 1.98, 1.6399999999999999, 
    0.40000000000000002, 1.1000000000000001, 4.6200000000000001, 
    3.4300000000000002, 3.04, NA, 4.21, 1.48, 1.3400000000000001, 
    3.77, 0, 1.24, 1.3600000000000001, 1.95, 4.9199999999999999, 
    1.1599999999999999, 5, 3.5099999999999998, 5, 5, 3.6899999999999999, 
    1.47, 5, 3.25, 3.0899999999999999, 5, 3.23, 5, 2.27, 1.5600000000000001, 
    1.0800000000000001, 5, 5, 2.8199999999999998, 4.0999999999999996, 
    0.81999999999999995, 1.52, 1.75, 4.1200000000000001, 5, 0.65000000000000002, 
    5, 5, 5, 0.84999999999999998, 3.4300000000000002, 0.92000000000000004, 
    2.9700000000000002, 1.5700000000000001, 2.0899999999999999, 
    NA, 1.8100000000000001, 5, 1.01, 3.4300000000000002, 5, 2.4700000000000002, 
    2.9399999999999999, 3.7799999999999998, 5, 3.4900000000000002
    ), HomeRooms = c(7L, 6L, 6L, 8L, 10L, 4L, 4L, 4L, 4L, 6L, 
    4L, 4L, 8L, 4L, 4L, 5L, 9L, 7L, 7L, 6L, 7L, 9L, 5L, 11L, 
    4L, 6L, 5L, 1L, 5L, 2L, 5L, 4L, 8L, 6L, 7L, NA, 6L, 5L, 11L, 
    1L, 4L, 6L, 7L, 6L, 7L, 7L, 8L, 5L, 6L, 7L, 9L, 5L, 4L, 6L, 
    5L, 7L, 4L, 5L, 7L, 4L, 4L, 7L, 13L, 8L, 9L, 1L, 4L, 7L, 
    5L, 8L, 13L, 7L, 6L, 9L, 1L, 5L, 8L, 8L, 7L, 8L, 3L, 11L, 
    7L, 5L, 8L, 8L, 4L, 6L, 9L, 5L, 6L, 12L, 7L, 4L, 6L, 4L, 
    4L, 5L, 6L, 7L, 3L, 5L, 7L, 6L, 4L, 6L, 8L, 8L, 8L, 9L, 6L, 
    4L, 6L, 4L, 8L, 6L, 7L, 11L, 9L, 6L, 5L, 5L, 8L, 7L, 4L, 
    6L, 7L, 6L, 9L, 8L, 9L, 6L, 11L, 10L, 5L, 6L, 6L, 5L, 5L, 
    10L, 7L, 3L, 5L, 6L, 7L, 7L, 4L, 3L, 4L, 7L, 4L, 8L, 6L, 
    6L, 6L, 9L, 6L, 4L, 5L, 4L, 7L, 6L, 5L, 8L, 8L, 6L, NA, 2L, 
    5L, 5L, 9L, NA, 6L, 4L, 7L, 6L, 3L, 10L, 5L, 9L, 10L, 1L, 
    5L, 6L, 5L, 3L, 5L, 5L, 8L, 6L, 4L, 8L, 11L, 6L, 4L, 9L, 
    4L, 7L, 6L, 7L, 7L, 4L, 4L, 8L, 6L, 5L, 5L, 12L, 4L, 8L, 
    8L, 4L, 6L, 6L, 11L, 3L, 6L, 5L, 5L, 6L, 7L, 10L, 6L, 6L, 
    7L, 8L, 7L, 6L, 10L, 8L, 9L, 7L, 5L, 3L, 8L, 3L, 5L, 5L, 
    5L, NA, 6L, 3L, 7L, 4L, 5L, 6L, 6L, 7L, 5L, 4L, 10L, 6L, 
    7L, 6L, 6L, 9L, 3L, 3L, 5L, 8L, 10L, 11L, 6L, 4L, 5L, 6L, 
    6L, 4L, 3L, 4L, 6L, 10L, 4L, 7L, 4L, 6L, 11L, 4L, 8L, 7L, 
    6L, 8L, 7L, 9L, 5L, 7L, 5L, 8L, 9L, 5L, 4L, 10L, 3L, 4L, 
    9L, 5L, 7L, 5L, 8L, 6L, 10L, 6L, 7L, 4L, 6L, 4L, 5L, 6L, 
    5L, 7L, 7L, 7L, 7L, 9L, 6L, 6L, 3L, 4L, 7L, NA, 10L, 3L, 
    5L, 4L, 7L, 5L, 6L, 4L, 9L, 8L, 6L, 3L, 4L, 4L, 5L, 5L, 8L, 
    6L, NA, 7L, 6L, 5L, 4L, 6L, 5L, 5L, 4L, 5L, 4L, 7L, 5L, 7L, 
    10L, 7L, 4L, 4L, 8L, 7L, 8L, 10L, 5L, 8L, 6L, 4L, 4L, 10L, 
    7L, 7L, 4L, 2L, 7L, 6L, 7L, 7L, 5L, 5L, 7L, NA, 4L, 3L, 7L, 
    3L, 5L, 3L, 3L, 7L, 6L, 10L, 6L, 10L, 4L, 5L, 8L, 8L, 6L, 
    6L, 6L, 1L, 8L, 6L, 8L, 7L, 4L, 4L, 8L, 5L, 3L, 5L, 5L, 5L, 
    6L, 4L, 7L, 5L, 10L, 7L, 11L, 6L, 4L, 7L, 7L, 4L, 5L, 6L, 
    3L, 9L, 7L, 8L, 3L, 7L, 3L, 8L, 8L, 6L, 4L, 5L, 3L, 10L, 
    6L, 6L, 5L, 3L, 7L, 7L, 6L, 6L, 5L, 4L, 5L, 4L, 4L, 3L, 6L, 
    7L, 6L, 6L, 4L, 8L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 4L, 11L, 
    6L, 8L, 5L, 6L, 3L, 10L, 4L, 7L, 9L, 5L, 9L, 5L, 8L, 5L, 
    10L, 1L, 9L, 6L, 3L, 5L, 5L, 6L, 4L, 12L, 5L, 10L, 4L, 6L, 
    4L, 8L, 6L, 6L), HomeOwn = structure(c(1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
    NA, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, NA, 2L, 2L, 2L, 
    1L, NA, 1L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 
    1L, 1L, 2L, 1L, 3L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, NA, 1L, 2L, 1L, 2L, 2L, 
    2L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 3L, 2L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, NA, 
    1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 
    1L, 3L, 1L, NA, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, NA, 1L, 3L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L
    ), .Label = c("Own", "Rent", "Other"), class = "factor"), 
    Work = structure(c(2L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 
    3L, 3L, 3L, 3L, 3L, 1L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 
    2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 
    3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 
    2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 
    1L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 
    3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 
    3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 1L, 3L, 
    3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 
    3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 1L, 
    2L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 
    3L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 
    3L, 3L, 2L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 
    1L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 
    2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 
    2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L, 3L, 2L, 
    2L, 1L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 
    3L, 2L, 2L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 3L, 
    2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 
    3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 1L, 3L, 2L, 2L, 3L, 3L, 2L, 
    2L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 
    3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 1L, 3L, 
    3L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 
    2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 
    3L, 3L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 
    2L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 3L, 
    3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 
    2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 
    2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 
    3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 
    3L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 
    2L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L), .Label = c("Looking", 
    "NotWorking", "Working"), class = "factor"), Weight = c(82.799999999999997, 
    79.900000000000006, 73.700000000000003, 80.900000000000006, 
    70.5, 120, 70, 102.59999999999999, 77.799999999999997, 62.5, 
    44.100000000000001, 100.09999999999999, 65.400000000000006, 
    87, 70.700000000000003, 80.700000000000003, 70, 106.59999999999999, 
    90.799999999999997, 89.599999999999994, 70.599999999999994, 
    99.900000000000006, 105.09999999999999, 105.3, 70.799999999999997, 
    82.299999999999997, 50.200000000000003, 95.400000000000006, 
    97.700000000000003, 116.2, 67.900000000000006, 85.5, 78.299999999999997, 
    69.700000000000003, 54, 73.599999999999994, 74.5, 92.900000000000006, 
    93.5, 105.3, 62.399999999999999, 58.700000000000003, 58.200000000000003, 
    67.5, 117.40000000000001, 100.7, 117.3, 58.799999999999997, 
    80.099999999999994, 91.5, 76.200000000000003, 92.400000000000006, 
    70.200000000000003, 89.700000000000003, 112.2, 68, 50.100000000000001, 
    53.399999999999999, 83.599999999999994, 68.5, 96.799999999999997, 
    57, 70.700000000000003, 88.900000000000006, 106.8, 73, 53.399999999999999, 
    85.599999999999994, 99.099999999999994, 82.200000000000003, 
    71.700000000000003, 102.7, 130.19999999999999, 88.900000000000006, 
    105.3, 82.5, 88.700000000000003, 134.80000000000001, 77, 
    63.100000000000001, 67.599999999999994, 58.200000000000003, 
    108.7, 52.299999999999997, 106.09999999999999, 124.90000000000001, 
    75.5, 75.299999999999997, 75.599999999999994, 57.600000000000001, 
    68.5, 105.59999999999999, 72.900000000000006, 91.900000000000006, 
    106.3, 61.399999999999999, 71.900000000000006, 100.2, 70.5, 
    67.099999999999994, 73.5, 56.299999999999997, 95, 88.299999999999997, 
    89.299999999999997, 81.599999999999994, 95.299999999999997, 
    104.59999999999999, 58.700000000000003, 116.3, 65.200000000000003, 
    129.5, 91.099999999999994, 66, 85.900000000000006, 97.200000000000003, 
    100.7, 89.400000000000006, 66.700000000000003, 98.099999999999994, 
    103.09999999999999, 88.700000000000003, 61.799999999999997, 
    89.900000000000006, 103, 124.90000000000001, 94.099999999999994, 
    61.700000000000003, 114.09999999999999, 81.099999999999994, 
    113.7, 100, 79.900000000000006, 57.700000000000003, 84.799999999999997, 
    72.700000000000003, 84.799999999999997, 68.900000000000006, 
    108, 63.799999999999997, 119.2, 65.700000000000003, 111.59999999999999, 
    61.899999999999999, 50.700000000000003, 82.5, 81.799999999999997, 
    50.899999999999999, 54.899999999999999, 104.5, 51.600000000000001, 
    93, 87.5, 81.299999999999997, 109.3, 82.400000000000006, 
    62.5, 85.5, 102.90000000000001, 84.900000000000006, 49.600000000000001, 
    63.899999999999999, 69.900000000000006, 79.700000000000003, 
    78.5, 89.700000000000003, 75.5, 105.40000000000001, 57.299999999999997, 
    76.400000000000006, 100.59999999999999, 49.299999999999997, 
    99.700000000000003, 73.299999999999997, 61.899999999999999, 
    68.200000000000003, 85.599999999999994, 86.599999999999994, 
    74.200000000000003, 75.900000000000006, 77.099999999999994, 
    83, 65.400000000000006, 50.700000000000003, 109.8, 58, 97, 
    107.2, 91.299999999999997, 91.099999999999994, 94.700000000000003, 
    67.099999999999994, 109.59999999999999, 102.8, 90.400000000000006, 
    71.299999999999997, 55.399999999999999, 53.899999999999999, 
    109.3, 62.200000000000003, 103.3, 81.200000000000003, 69, 
    93.700000000000003, 65.5, 96.799999999999997, 91.900000000000006, 
    86.900000000000006, 63.5, 78.299999999999997, 83.299999999999997, 
    92.900000000000006, 84.299999999999997, 109.90000000000001, 
    79.900000000000006, 100.8, 82.599999999999994, 85.299999999999997, 
    72.5, 99.900000000000006, 82.400000000000006, 79.299999999999997, 
    109.3, 75.900000000000006, 59.600000000000001, 82.099999999999994, 
    77.700000000000003, 84.599999999999994, 79.099999999999994, 
    60.700000000000003, 91, 145.69999999999999, 84.799999999999997, 
    57.399999999999999, 93.299999999999997, 120.09999999999999, 
    68.099999999999994, 85.799999999999997, 67.900000000000006, 
    70, 70.5, 98.799999999999997, 110.90000000000001, 65.5, 131.69999999999999, 
    74.299999999999997, 78.599999999999994, 104.7, 62.100000000000001, 
    83.299999999999997, 126.59999999999999, 66.700000000000003, 
    85.5, 82.700000000000003, 50.100000000000001, 99.599999999999994, 
    68.5, 66.200000000000003, 74.599999999999994, 63.600000000000001, 
    92.5, 71.400000000000006, 96.299999999999997, 70.900000000000006, 
    58.399999999999999, 115.09999999999999, 101.3, 73.200000000000003, 
    82.599999999999994, 75.400000000000006, 103.59999999999999, 
    93.200000000000003, 97.299999999999997, 103.5, 53.200000000000003, 
    73.099999999999994, 65.900000000000006, 104, 93.299999999999997, 
    102.40000000000001, 71.5, 66.599999999999994, 104.3, 104.40000000000001, 
    87.299999999999997, 83.900000000000006, 89.700000000000003, 
    63.299999999999997, 115.90000000000001, 83, 85.700000000000003, 
    57.700000000000003, 77.5, 106.8, 81.400000000000006, 60.899999999999999, 
    76.599999999999994, 100.40000000000001, 60, 85.900000000000006, 
    98.5, 74.799999999999997, 84.599999999999994, 71.700000000000003, 
    87.599999999999994, 58.700000000000003, 86.299999999999997, 
    65.599999999999994, 85.299999999999997, 68.599999999999994, 
    66.599999999999994, 73.799999999999997, 157.19999999999999, 
    82.799999999999997, 112, 99.700000000000003, 66.200000000000003, 
    80.599999999999994, 53.100000000000001, 106.2, 57.899999999999999, 
    66.299999999999997, 63.100000000000001, 67.400000000000006, 
    76.700000000000003, 140.09999999999999, 57.700000000000003, 
    62.299999999999997, 91.700000000000003, 62.399999999999999, 
    61.5, 88.200000000000003, 57, 89.200000000000003, 65.599999999999994, 
    96.5, 101.7, 113.40000000000001, 51.600000000000001, 76.299999999999997, 
    65.5, 100.40000000000001, 60.399999999999999, 89, 62.100000000000001, 
    119.8, 60.600000000000001, 86.400000000000006, 88.5, 78.900000000000006, 
    63.600000000000001, NA, 76.200000000000003, 58, 86.200000000000003, 
    NA, 75.400000000000006, 56.399999999999999, 121.09999999999999, 
    82.099999999999994, 84.099999999999994, 51, 96.599999999999994, 
    133.90000000000001, 111.59999999999999, NA, 75.299999999999997, 
    84, 64, 78.799999999999997, 85.5, 55.399999999999999, 81.299999999999997, 
    89.5, 80.5, 80.400000000000006, 103.8, 68.5, 49, 78.599999999999994, 
    82.799999999999997, 77.900000000000006, 69.799999999999997, 
    107.3, 76, 53, 82.900000000000006, 57.899999999999999, 96.200000000000003, 
    115.09999999999999, 71.799999999999997, 112.8, 107.7, 66.900000000000006, 
    137.59999999999999, 80, 100.7, 79.900000000000006, 72.099999999999994, 
    108.7, 86.799999999999997, 98.5, 68.700000000000003, 102.90000000000001, 
    83.400000000000006, 40.799999999999997, 111.3, 79, 77, 72.099999999999994, 
    105.5, 91.5, 58.5, 89.299999999999997, 56.899999999999999, 
    80.799999999999997, 93.599999999999994, 86.599999999999994, 
    73.599999999999994, 92.400000000000006, 99.5, 87.400000000000006, 
    73.400000000000006, 77.900000000000006, 74.5, 95.200000000000003, 
    79.799999999999997, 66, 93, 63.399999999999999, 119.90000000000001, 
    91.099999999999994, 70.700000000000003, 81.200000000000003, 
    88.099999999999994, 99.900000000000006, 120.5, 76.900000000000006, 
    69.299999999999997, 93.5, 84.099999999999994, 98.700000000000003, 
    50.700000000000003, 105.5, 68.900000000000006, 64, 70.900000000000006, 
    188.90000000000001, 91.799999999999997, 93.900000000000006, 
    93, 73, 112.2, 89.200000000000003, 81.400000000000006, 86.200000000000003, 
    83.200000000000003, 109.09999999999999, 100.2, 52, 103.8, 
    67.700000000000003, 86.099999999999994, 84.700000000000003, 
    64.5, 94.400000000000006, 56.700000000000003, 60.899999999999999, 
    80.700000000000003, 71.299999999999997, 71.900000000000006, 
    123.2, 85.5, 72.299999999999997, 53.600000000000001, 68.599999999999994, 
    99.599999999999994, 59.700000000000003, 93.700000000000003, 
    144.59999999999999, 78.5, 87.299999999999997, 104, 83.099999999999994, 
    50.100000000000001, 80.299999999999997, 116.09999999999999, 
    122.8, 109.09999999999999, 57.700000000000003, 223, 65.400000000000006, 
    63.700000000000003, 102.90000000000001, 82.099999999999994, 
    75.799999999999997, 63.100000000000001, 121.8, 82.200000000000003, 
    100.3), Length = c(NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_), HeadCirc = c(NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, 
    NA_real_), Height = c(172.19999999999999, 164.80000000000001, 
    170.5, 177.09999999999999, 161.80000000000001, 190.90000000000001, 
    166.19999999999999, 192.80000000000001, 153, 160.09999999999999, 
    155.69999999999999, 178.30000000000001, 155.5, 174.09999999999999, 
    166.59999999999999, 194.90000000000001, 173.19999999999999, 
    161.09999999999999, 175.40000000000001, 179.80000000000001, 
    153.19999999999999, 158.09999999999999, 170.59999999999999, 
    181.59999999999999, 169.40000000000001, 173.80000000000001, 
    161, 185.90000000000001, 187.5, 171.09999999999999, 147.90000000000001, 
    173.19999999999999, 171.30000000000001, 168.90000000000001, 
    162.40000000000001, 163.5, 179.09999999999999, 170.09999999999999, 
    162.40000000000001, 184.09999999999999, 168.40000000000001, 
    159.69999999999999, 160.80000000000001, 170.59999999999999, 
    177.80000000000001, 185.90000000000001, 171.90000000000001, 
    170.09999999999999, 181.09999999999999, 169.80000000000001, 
    171.69999999999999, 159.80000000000001, 158, 156.59999999999999, 
    165.90000000000001, 160.5, 164.90000000000001, 153.5, 162.09999999999999, 
    148, 187.19999999999999, 168.09999999999999, 181.59999999999999, 
    173.59999999999999, 182.30000000000001, 187.59999999999999, 
    163.59999999999999, 171.40000000000001, 167.69999999999999, 
    170.40000000000001, 166.09999999999999, 184.30000000000001, 
    178.90000000000001, 165.30000000000001, 184.09999999999999, 
    157.90000000000001, 165.09999999999999, 183.40000000000001, 
    165.30000000000001, 160.19999999999999, 180.69999999999999, 
    153.90000000000001, 166.09999999999999, 156.30000000000001, 
    173.40000000000001, 173.90000000000001, 150.30000000000001, 
    169.30000000000001, 161.5, 163.80000000000001, 149.30000000000001, 
    182.19999999999999, 154.59999999999999, 169.59999999999999, 
    185.5, 158.09999999999999, 162.40000000000001, 169.59999999999999, 
    172.90000000000001, 165.90000000000001, 179.59999999999999, 
    177.09999999999999, 167.40000000000001, 173.40000000000001, 
    177.90000000000001, 165.59999999999999, 171.09999999999999, 
    175.69999999999999, 160.5, 171.19999999999999, 168.90000000000001, 
    179.59999999999999, 179.59999999999999, 164, 177.40000000000001, 
    169.30000000000001, 155.5, 173.40000000000001, 176.19999999999999, 
    166.30000000000001, 178.40000000000001, 153.19999999999999, 
    165.30000000000001, 155.80000000000001, 169.19999999999999, 
    169.69999999999999, 174.5, 159.59999999999999, 164.30000000000001, 
    173.90000000000001, 183.5, 163, 174.40000000000001, 160.90000000000001, 
    164.09999999999999, 168, 154.90000000000001, 153.80000000000001, 
    160.90000000000001, 159.40000000000001, 169.5, 166.09999999999999, 
    159, 161.80000000000001, 168.80000000000001, 160.80000000000001, 
    175, 156.59999999999999, 163.09999999999999, 164.30000000000001, 
    153.80000000000001, 180.5, 179.09999999999999, 164.30000000000001, 
    166, 164.09999999999999, 159.80000000000001, 169.30000000000001, 
    167.69999999999999, 182.09999999999999, 150.19999999999999, 
    152.90000000000001, 166.90000000000001, 174.69999999999999, 
    185.40000000000001, 180.59999999999999, 175.19999999999999, 
    162.40000000000001, 171.19999999999999, 169.40000000000001, 
    159.69999999999999, 162.40000000000001, 175.19999999999999, 
    190.5, 155.09999999999999, 153.09999999999999, 157.30000000000001, 
    171.80000000000001, 163.5, 171.90000000000001, 174.19999999999999, 
    153.59999999999999, 158.80000000000001, 154.19999999999999, 
    176, 171.09999999999999, 174.90000000000001, 170.80000000000001, 
    168.80000000000001, 179.59999999999999, 181.69999999999999, 
    159, 150.80000000000001, 173.30000000000001, 169.5, 162.59999999999999, 
    144.59999999999999, 160.09999999999999, 173.5, 182.80000000000001, 
    177.90000000000001, 149.40000000000001, 162.09999999999999, 
    180.30000000000001, 167.69999999999999, 186.90000000000001, 
    166.19999999999999, 182.5, 173, 171.30000000000001, 163.69999999999999, 
    177.69999999999999, 186.30000000000001, 185.09999999999999, 
    174.40000000000001, 161.90000000000001, 177.40000000000001, 
    154.40000000000001, 165.40000000000001, 176.80000000000001, 
    154.30000000000001, 182.80000000000001, 166, 155.80000000000001, 
    164.30000000000001, 167.30000000000001, 176.59999999999999, 
    177.59999999999999, 177.09999999999999, 162.40000000000001, 
    172, 177.09999999999999, 165.40000000000001, 160.69999999999999, 
    177, 148.80000000000001, 176.09999999999999, 182.5, 167.59999999999999, 
    170.30000000000001, 161.69999999999999, 155.59999999999999, 
    175.30000000000001, 178.19999999999999, 159.09999999999999, 
    153, 164.80000000000001, 147.69999999999999, 169.80000000000001, 
    182.19999999999999, 185.59999999999999, 171, 176.80000000000001, 
    175.09999999999999, 149.80000000000001, 172, 168.90000000000001, 
    172.90000000000001, 183.19999999999999, 151.09999999999999, 
    166.5, 155, 161.09999999999999, 173.09999999999999, 157.5, 
    176.80000000000001, 169.80000000000001, 152.19999999999999, 
    173.19999999999999, 152, 187.09999999999999, 166.40000000000001, 
    183.80000000000001, 186.19999999999999, 156.59999999999999, 
    160, 158.40000000000001, 177.59999999999999, 178.69999999999999, 
    185.09999999999999, 160.59999999999999, 178.40000000000001, 
    181, 174.59999999999999, 172.40000000000001, 177.5, 168.90000000000001, 
    155.80000000000001, 188.40000000000001, 146.59999999999999, 
    175.5, 160.90000000000001, 167.59999999999999, 158, 162.59999999999999, 
    162.5, 173.80000000000001, 162.90000000000001, 176.90000000000001, 
    162, 187.5, 173.30000000000001, 170.59999999999999, 160.69999999999999, 
    171.09999999999999, 146.40000000000001, 170.5, 166.80000000000001, 
    182.40000000000001, 175, 159.5, 168.09999999999999, 175, 
    179.19999999999999, 181.30000000000001, 175.19999999999999, 
    172.90000000000001, 174.59999999999999, 159.09999999999999, 
    178.80000000000001, 162.19999999999999, 158, 164, 171.19999999999999, 
    168, 184.90000000000001, 156.5, 158.40000000000001, 187.30000000000001, 
    179.5, 156.69999999999999, 164.09999999999999, 170.80000000000001, 
    164.30000000000001, 162.80000000000001, 173.09999999999999, 
    163.09999999999999, 163.19999999999999, 155.69999999999999, 
    174.40000000000001, 171.09999999999999, 162.90000000000001, 
    157.40000000000001, 174.30000000000001, 145.09999999999999, 
    190.69999999999999, 154.5, 161, 171.30000000000001, 182.40000000000001, 
    166.90000000000001, NA, 159.30000000000001, 166.5, 172.5, 
    NA, 164.09999999999999, 170.40000000000001, 160.30000000000001, 
    174.90000000000001, 175.90000000000001, 165.40000000000001, 
    183.80000000000001, 173.59999999999999, 182.09999999999999, 
    181.69999999999999, 168.69999999999999, 180.5, 152.30000000000001, 
    173.69999999999999, 173.59999999999999, 173, 165.09999999999999, 
    167.5, 179.69999999999999, 158.40000000000001, 161, 151.80000000000001, 
    148.59999999999999, 171.09999999999999, 168, 158.80000000000001, 
    175.09999999999999, 163.5, 152.90000000000001, 143.90000000000001, 
    183.90000000000001, 162.19999999999999, 159.09999999999999, 
    168.19999999999999, 175.09999999999999, 174.59999999999999, 
    186.90000000000001, 163, 167.80000000000001, 169.80000000000001, 
    156.19999999999999, 168.90000000000001, 195.80000000000001, 
    151, 166.5, 170.69999999999999, 154.90000000000001, 173.69999999999999, 
    161.59999999999999, 144.19999999999999, 177.19999999999999, 
    166, 176.80000000000001, 184.30000000000001, 175.30000000000001, 
    161.30000000000001, 159.80000000000001, 173.5, 155.40000000000001, 
    177.80000000000001, 165.19999999999999, 180.80000000000001, 
    169.5, 168.30000000000001, 183.30000000000001, 182.30000000000001, 
    158.30000000000001, 192.90000000000001, 168.59999999999999, 
    167.09999999999999, 166.30000000000001, 163.59999999999999, 
    173.40000000000001, 159.69999999999999, 175.69999999999999, 
    168, 165.90000000000001, 169.69999999999999, 175, 183.40000000000001, 
    190.5, 173.90000000000001, 169.59999999999999, 176.69999999999999, 
    169, 169.09999999999999, 158.30000000000001, 184.69999999999999, 
    152.30000000000001, 152.69999999999999, 166.80000000000001, 
    165.90000000000001, 164.40000000000001, 162.80000000000001, 
    169.69999999999999, 164.90000000000001, 180.5, 186.5, 155.59999999999999, 
    172.09999999999999, 186.19999999999999, 180.5, 173.80000000000001, 
    159.90000000000001, 176.19999999999999, 152.09999999999999, 
    192.80000000000001, 148.19999999999999, 164.19999999999999, 
    175.30000000000001, 168.30000000000001, 160.69999999999999, 
    177.5, 162.30000000000001, 168, 179.09999999999999, 157, 
    160, 155.80000000000001, 161.19999999999999, 172, 163.59999999999999, 
    184.59999999999999, 163.90000000000001, 169.19999999999999, 
    172.40000000000001, 179.30000000000001, 173, 157.19999999999999, 
    182.09999999999999, 157.59999999999999, 188, 172.59999999999999, 
    158.80000000000001, 186.80000000000001, 168.30000000000001, 
    155, 162.59999999999999, 179.19999999999999, 170.19999999999999, 
    162.09999999999999, 188.59999999999999, 160.40000000000001, 
    164.69999999999999), BMI = c(27.899999999999999, 29.399999999999999, 
    25.350000000000001, 25.800000000000001, 26.899999999999999, 
    32.93, 25.300000000000001, 27.600000000000001, 33.240000000000002, 
    24.379999999999999, 18.190000000000001, 31.5, 27.050000000000001, 
    28.699999999999999, 25.5, 21.239999999999998, 23.300000000000001, 
    41.07, 29.510000000000002, 27.699999999999999, 30.079999999999998, 
    39.969999999999999, 36.100000000000001, 31.899999999999999, 
    24.670000000000002, 27.199999999999999, 19.399999999999999, 
    27.600000000000001, 27.800000000000001, 39.700000000000003, 
    31, 28.5, 26.68, 24.43, 20.469999999999999, 27.5, 23.199999999999999, 
    32.109999999999999, 35.450000000000003, 31.100000000000001, 
    22, 23, 22.5, 23.190000000000001, 37.140000000000001, 29.140000000000001, 
    39.700000000000003, 20.300000000000001, 24.420000000000002, 
    31.699999999999999, 25.850000000000001, 36.200000000000003, 
    28.100000000000001, 36.600000000000001, 40.799999999999997, 
    26.399999999999999, 18.399999999999999, 22.66, 31.800000000000001, 
    31.27, 27.600000000000001, 20.199999999999999, 21.399999999999999, 
    29.5, 32.100000000000001, 20.699999999999999, 20, 29.140000000000001, 
    35.240000000000002, 28.300000000000001, 26, 30.239999999999998, 
    40.68, 32.539999999999999, 31.100000000000001, 33.090000000000003, 
    32.5, 40.079999999999998, 28.18, 24.600000000000001, 20.699999999999999, 
    24.600000000000001, 39.399999999999999, 21.41, 35.289999999999999, 
    41.299999999999997, 33.420000000000002, 26.27, 28.989999999999998, 
    21.5, 30.699999999999999, 31.809999999999999, 30.5, 31.899999999999999, 
    30.890000000000001, 24.559999999999999, 27.260000000000002, 
    34.840000000000003, 23.579999999999998, 24.399999999999999, 
    22.800000000000001, 18, 33.899999999999999, 29.370000000000001, 
    28.199999999999999, 29.800000000000001, 32.549999999999997, 
    33.880000000000003, 22.789999999999999, 39.68, 22.859999999999999, 
    40.100000000000001, 28.199999999999999, 24.5, 27.300000000000001, 
    33.909999999999997, 41.600000000000001, 29.73, 21.48, 35.5, 
    32.390000000000001, 37.789999999999999, 22.620000000000001, 
    37, 35.979999999999997, 43.399999999999999, 30.899999999999999, 
    24.199999999999999, 42.270000000000003, 26.800000000000001, 
    33.799999999999997, 37.640000000000001, 26.300000000000001, 
    22.289999999999999, 31.5, 25.760000000000002, 35.340000000000003, 
    29.129999999999999, 41.700000000000003, 25.100000000000001, 
    41.490000000000002, 23.800000000000001, 44.140000000000001, 
    23.600000000000001, 17.800000000000001, 31.899999999999999, 
    26.710000000000001, 20.760000000000002, 20.600000000000001, 
    38.710000000000001, 21.809999999999999, 28.5, 27.280000000000001, 
    30.100000000000001, 39.659999999999997, 30.600000000000001, 
    24.48, 29.800000000000001, 36.590000000000003, 25.600000000000001, 
    21.989999999999998, 27.300000000000001, 25.09, 26.100000000000001, 
    22.84, 27.5, 24.600000000000001, 40, 19.550000000000001, 
    26.600000000000001, 39.399999999999999, 18.699999999999999, 
    32.5, 20.199999999999999, 25.73, 29.100000000000001, 34.600000000000001, 
    29.300000000000001, 27.800000000000001, 25.690000000000001, 
    25.41, 35.200000000000003, 25.899999999999999, 21.32, 35.399999999999999, 
    19.809999999999999, 31.710000000000001, 36.75, 32.039999999999999, 
    28.199999999999999, 28.699999999999999, 26.539999999999999, 
    48.200000000000003, 34.229999999999997, 31.5, 27, 26.5, 21.030000000000001, 
    36.299999999999997, 18.609999999999999, 32.600000000000001, 
    36.380000000000003, 26.260000000000002, 28.82, 23.300000000000001, 
    27.699999999999999, 33.299999999999997, 26.100000000000001, 
    21.199999999999999, 26.68, 31.079999999999998, 29.399999999999999, 
    24.300000000000001, 32.100000000000001, 26.300000000000001, 
    38.5, 26.199999999999999, 35.780000000000001, 26.5, 32, 34.600000000000001, 
    23.699999999999999, 39.659999999999997, 31.300000000000001, 
    22.100000000000001, 29.300000000000001, 24.91, 26.82, 25.199999999999999, 
    23.02, 30.800000000000001, 46.450000000000003, 31, 22.199999999999999, 
    29.780000000000001, 54.200000000000003, 21.960000000000001, 
    25.760000000000002, 24.199999999999999, 24.140000000000001, 
    26.960000000000001, 40.810000000000002, 36.100000000000001, 
    20.600000000000001, 52.030000000000001, 31.699999999999999, 
    28.899999999999999, 47.990000000000002, 21.539999999999999, 
    25.100000000000001, 36.799999999999997, 22.809999999999999, 
    27.350000000000001, 27, 22.300000000000001, 33.700000000000003, 
    24.010000000000002, 22.140000000000001, 22.199999999999999, 
    27.859999999999999, 33.399999999999999, 29.719999999999999, 
    37.109999999999999, 23.699999999999999, 23.539999999999999, 
    36.799999999999997, 35.130000000000003, 31.600000000000001, 
    27.5, 32.600000000000001, 29.59, 33.700000000000003, 28.800000000000001, 
    29.850000000000001, 21.690000000000001, 28.550000000000001, 
    26.260000000000002, 33, 29.199999999999999, 29.890000000000001, 
    27.699999999999999, 20.93, 31.800000000000001, 34.25, 29.370000000000001, 
    26.600000000000001, 31.440000000000001, 26.100000000000001, 
    32.649999999999999, 38.619999999999997, 27.82, 22.289999999999999, 
    27.59, 42.799999999999997, 30.789999999999999, 23.100000000000001, 
    25.359999999999999, 37.799999999999997, 19.170000000000002, 
    32.700000000000003, 28, 24.899999999999999, 29.100000000000001, 
    27.800000000000001, 29.899999999999999, 27.399999999999999, 
    29.690000000000001, 23.579999999999998, 25.600000000000001, 
    22.399999999999999, 26.18, 26.100000000000001, 51.329999999999998, 
    25.800000000000001, 34.07, 32.5, 22.140000000000001, 26.440000000000001, 
    21, 33.200000000000003, 22, 26.559999999999999, 23.5, 23, 
    27.18, 41, 23.600000000000001, 24.800000000000001, 26.140000000000001, 
    19.399999999999999, 25, 32.75, 19.539999999999999, 33.039999999999999, 
    24.75, 32.210000000000001, 38.200000000000003, 42.600000000000001, 
    21.280000000000001, 25.09, 22.370000000000001, 37.799999999999997, 
    24.379999999999999, 29.300000000000001, 29.5, 32.899999999999999, 
    25.399999999999999, 33.329999999999998, 30.199999999999999, 
    23.719999999999999, 22.829999999999998, NA, 30.030000000000001, 
    20.920000000000002, 28.969999999999999, NA, 28, 19.420000000000002, 
    47.100000000000001, 26.84, 27.18, 18.640000000000001, 28.600000000000001, 
    44.399999999999999, 33.649999999999999, NA, 26.460000000000001, 
    25.780000000000001, 27.600000000000001, 26.120000000000001, 
    28.399999999999999, 18.510000000000002, 29.800000000000001, 
    31.899999999999999, 24.93, 32, 40.039999999999999, 29.73, 
    22.199999999999999, 26.850000000000001, 29.34, 30.899999999999999, 
    22.77, 40.140000000000001, 32.5, 25.59, 24.510000000000002, 
    22, 38, 40.68, 23.420000000000002, 37, 30.800000000000001, 
    25.199999999999999, 48.869999999999997, 27.75, 41.270000000000003, 
    28.010000000000002, 18.800000000000001, 47.700000000000003, 
    31.300000000000001, 33.799999999999997, 28.629999999999999, 
    34.100000000000001, 31.940000000000001, 19.600000000000001, 
    35.399999999999999, 28.670000000000002, 24.600000000000001, 
    21.23, 34.329999999999998, 35.170000000000002, 22.91, 29.699999999999999, 
    23.600000000000001, 25.600000000000001, 34.299999999999997, 
    26.5, 25.620000000000001, 32.619999999999997, 29.609999999999999, 
    26.300000000000001, 29.289999999999999, 20.899999999999999, 
    26.210000000000001, 34.100000000000001, 28.850000000000001, 
    24.699999999999999, 30.899999999999999, 24.859999999999999, 
    38.840000000000003, 32.299999999999997, 25.699999999999999, 
    28.199999999999999, 28.800000000000001, 29.699999999999999, 
    33.200000000000003, 25.399999999999999, 24.09, 29.899999999999999, 
    29.399999999999999, 34.520000000000003, 20.23, 30.899999999999999, 
    29.699999999999999, 27.449999999999999, 25.5, 68.629999999999995, 
    33.969999999999999, 35.43, 32.289999999999999, 26.850000000000001, 
    34.399999999999999, 25.649999999999999, 33.600000000000001, 
    29.100000000000001, 24, 33.490000000000002, 33.200000000000003, 
    20.34, 33.399999999999999, 29.260000000000002, 23.199999999999999, 
    38.560000000000002, 23.899999999999999, 30.719999999999999, 
    20, 23.579999999999998, 25.600000000000001, 27.100000000000001, 
    25.5, 38.409999999999997, 34.700000000000003, 28.239999999999998, 
    22.100000000000001, 26.399999999999999, 33.700000000000003, 
    22.309999999999999, 27.5, 53.829999999999998, 27.399999999999999, 
    29.370000000000001, 32.350000000000001, 27.800000000000001, 
    20.27, 24.219999999999999, 46.700000000000003, 34.700000000000003, 
    36.619999999999997, 22.879999999999999, 63.909999999999997, 
    23.09, 26.510000000000002, 38.920000000000002, 25.57, 26.170000000000002, 
    24, 34.200000000000003, 31.899999999999999, 36.979999999999997
    ), BMICatUnder20yrs = structure(c(NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_), .Label = c("UnderWeight", 
    "NormWeight", "OverWeight", "Obese"), class = "factor"), 
    BMI_WHO = structure(c(3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 
    2L, 1L, 4L, 3L, 3L, 3L, 2L, 2L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 
    2L, 3L, 2L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 4L, 4L, 
    4L, 2L, 2L, 2L, 2L, 4L, 3L, 4L, 2L, 2L, 4L, 3L, 4L, 3L, 4L, 
    4L, 3L, 1L, 2L, 4L, 4L, 3L, 2L, 2L, 3L, 4L, 2L, 2L, 3L, 4L, 
    3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 2L, 2L, 2L, 4L, 2L, 
    4L, 4L, 4L, 3L, 3L, 2L, 4L, 4L, 4L, 4L, 4L, 2L, 3L, 4L, 2L, 
    2L, 2L, 1L, 4L, 3L, 3L, 3L, 4L, 4L, 2L, 4L, 2L, 4L, 3L, 2L, 
    3L, 4L, 4L, 3L, 2L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 
    3L, 4L, 4L, 3L, 2L, 4L, 3L, 4L, 3L, 4L, 3L, 4L, 2L, 4L, 2L, 
    1L, 4L, 3L, 2L, 2L, 4L, 2L, 3L, 3L, 4L, 4L, 4L, 2L, 3L, 4L, 
    3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 4L, 2L, 3L, 4L, 2L, 4L, 2L, 
    3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 4L, 2L, 4L, 4L, 4L, 
    3L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 2L, 4L, 2L, 4L, 4L, 3L, 3L, 
    2L, 3L, 4L, 3L, 2L, 3L, 4L, 3L, 2L, 4L, 3L, 4L, 3L, 4L, 3L, 
    4L, 4L, 2L, 4L, 4L, 2L, 3L, 3L, 3L, 3L, 2L, 4L, 4L, 4L, 2L, 
    3L, 4L, 2L, 3L, 2L, 2L, 3L, 4L, 4L, 2L, 4L, 4L, 3L, 4L, 2L, 
    3L, 4L, 2L, 3L, 3L, 2L, 4L, 2L, 2L, 2L, 3L, 4L, 3L, 4L, 2L, 
    2L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 4L, 3L, 
    3L, 3L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 2L, 3L, 4L, 
    4L, 2L, 3L, 4L, 2L, 4L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 
    2L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 4L, 2L, 3L, 2L, 2L, 
    3L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 2L, 4L, 2L, 4L, 4L, 4L, 2L, 
    3L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 2L, NA, 4L, 2L, 
    3L, NA, 3L, 2L, 4L, 3L, 3L, 2L, 3L, 4L, 4L, NA, 3L, 3L, 3L, 
    3L, 3L, 2L, 3L, 4L, 3L, 4L, 4L, 3L, 2L, 3L, 3L, 4L, 2L, 4L, 
    4L, 3L, 2L, 2L, 4L, 4L, 2L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 2L, 
    4L, 4L, 4L, 3L, 4L, 4L, 2L, 4L, 3L, 2L, 2L, 4L, 4L, 2L, 3L, 
    2L, 3L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 2L, 3L, 4L, 3L, 2L, 4L, 
    2L, 4L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 3L, 4L, 2L, 4L, 
    3L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 2L, 4L, 4L, 
    2L, 4L, 3L, 2L, 4L, 2L, 4L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 3L, 
    2L, 3L, 4L, 2L, 3L, 4L, 3L, 3L, 4L, 3L, 2L, 2L, 4L, 4L, 4L, 
    2L, 4L, 2L, 3L, 4L, 3L, 3L, 2L, 4L, 4L, 4L), .Label = c("12.0_18.5", 
    "18.5_to_24.9", "25.0_to_29.9", "30.0_plus"), class = "factor"), 
    Pulse = c(58L, 70L, 74L, 58L, 76L, 58L, 68L, 60L, 84L, 82L, 
    64L, 66L, 72L, 78L, NA, 70L, 68L, 68L, 92L, 74L, 72L, 78L, 
    58L, 74L, 78L, 44L, 66L, 54L, 80L, NA, 64L, 82L, 70L, 60L, 
    94L, 88L, 76L, 86L, 62L, 78L, 100L, 64L, 84L, 56L, 66L, 66L, 
    58L, 76L, 78L, 60L, 68L, 72L, NA, 70L, 72L, 80L, 84L, 88L, 
    90L, 70L, 62L, 60L, 66L, 84L, 66L, 80L, NA, 72L, 86L, 74L, 
    72L, 78L, 62L, 88L, 78L, 64L, 68L, 62L, 64L, 70L, 70L, NA, 
    70L, 56L, 92L, 62L, 74L, 86L, 60L, 72L, 58L, 72L, 92L, 76L, 
    62L, 64L, 64L, 86L, 50L, 62L, 70L, NA, NA, 56L, 72L, 74L, 
    86L, 68L, 54L, 60L, 76L, 66L, 62L, 74L, 76L, 84L, 96L, 64L, 
    48L, 80L, 76L, NA, 82L, 94L, 46L, 80L, 64L, 80L, 82L, 68L, 
    74L, 112L, NA, 58L, 60L, 56L, 72L, 90L, 56L, 72L, 82L, 98L, 
    96L, 62L, 68L, 56L, 66L, 74L, 74L, 68L, 70L, 84L, 56L, 74L, 
    64L, 60L, 58L, 44L, 66L, 88L, 90L, 84L, 86L, 74L, 72L, 70L, 
    56L, 84L, 50L, 76L, 60L, 84L, 62L, 60L, 76L, 82L, 78L, 64L, 
    68L, 66L, 76L, 72L, 76L, 68L, 64L, 82L, 92L, 68L, 76L, 62L, 
    80L, 56L, 86L, 74L, 90L, 60L, 64L, 78L, 82L, 72L, 70L, 82L, 
    64L, 104L, 64L, 72L, 66L, NA, 82L, 70L, 82L, 76L, 56L, 68L, 
    NA, 92L, 68L, 82L, 72L, 80L, 64L, 66L, 64L, 82L, 104L, 98L, 
    64L, 70L, 58L, 72L, 54L, 68L, 82L, 78L, 44L, 66L, 68L, 66L, 
    80L, 52L, 68L, NA, 66L, 74L, 80L, 86L, 64L, 76L, 72L, 76L, 
    68L, 74L, 66L, 96L, NA, 74L, 60L, 56L, 58L, 76L, 74L, 52L, 
    76L, 64L, 66L, 62L, 66L, 72L, 72L, 74L, 64L, 72L, 78L, 70L, 
    64L, 66L, 70L, 96L, 62L, NA, 112L, 54L, 82L, 60L, 60L, 74L, 
    78L, 58L, 72L, 60L, 74L, 58L, 92L, 76L, 72L, 70L, 76L, 72L, 
    62L, 84L, 76L, 76L, 74L, NA, 62L, 72L, 68L, 76L, 68L, 82L, 
    64L, 84L, 74L, 68L, 74L, 62L, 56L, 60L, 76L, 84L, 58L, 74L, 
    68L, 60L, 60L, 100L, 70L, 70L, 50L, 56L, 72L, 74L, 84L, 64L, 
    82L, 56L, 56L, 80L, 80L, 84L, 76L, 72L, 78L, 74L, 56L, 84L, 
    70L, 70L, 50L, 60L, 72L, 78L, 98L, 64L, 68L, 78L, 78L, 70L, 
    74L, 76L, 82L, 62L, 82L, 68L, 86L, 94L, 72L, 50L, 58L, 64L, 
    62L, 60L, 62L, 72L, 90L, 92L, 102L, 88L, 54L, 42L, 92L, 62L, 
    60L, 64L, 82L, 80L, 58L, 58L, 82L, 70L, 78L, 66L, 80L, 60L, 
    82L, 64L, 82L, 74L, 80L, 78L, 76L, 72L, 100L, 78L, NA, 66L, 
    58L, 66L, 74L, 70L, 68L, 86L, 76L, 64L, 66L, 52L, 60L, 48L, 
    76L, 78L, 72L, 60L, 78L, 102L, 66L, 64L, 74L, 70L, 60L, NA, 
    78L, 68L, 64L, 62L, 82L, 66L, 76L, 72L, 86L, 90L, 60L, 72L, 
    68L, 64L, 80L, 76L, 82L, 102L, 70L, 94L, 50L, 72L, 90L, 70L, 
    56L, 86L, 64L, 76L, 70L, 50L, 88L, 60L, 82L, 74L, 82L, 86L, 
    NA, 66L, 74L, 70L, 72L, 76L, 68L, 72L, 68L, 58L, 74L, 88L, 
    68L, 82L, 74L, 60L, 58L, 72L, 64L, 62L, 82L, 56L, 78L, 64L, 
    104L, 60L, 78L, 68L, 60L, 56L, 66L, 76L, NA, 80L), BPSysAve = c(125L, 
    121L, 120L, 132L, 152L, 148L, 122L, 114L, 108L, 168L, 103L, 
    119L, 116L, 116L, NA, 98L, 123L, 135L, 122L, 116L, 137L, 
    139L, 122L, 127L, 132L, 141L, 128L, 135L, 113L, NA, 109L, 
    112L, 130L, 102L, 104L, 116L, 132L, 114L, 131L, 106L, 100L, 
    142L, 114L, 141L, 115L, 133L, 118L, 98L, 102L, 120L, 120L, 
    112L, NA, 152L, 131L, 179L, 139L, 183L, 117L, 107L, 101L, 
    135L, 116L, 138L, 112L, 125L, NA, 121L, 101L, 111L, 112L, 
    129L, 125L, 125L, 106L, 108L, 100L, 103L, 123L, 111L, 114L, 
    NA, 128L, 129L, 130L, 141L, 114L, 111L, 124L, 129L, 119L, 
    124L, 123L, 108L, 116L, 88L, 115L, 121L, 109L, 124L, 130L, 
    NA, NA, 146L, 114L, 164L, 117L, 99L, 95L, 144L, 114L, 97L, 
    120L, 108L, 134L, 142L, 107L, 127L, 111L, 102L, 103L, NA, 
    114L, 101L, 109L, 134L, 113L, 123L, 105L, 116L, 116L, 150L, 
    NA, 107L, 151L, 103L, 105L, 125L, 132L, 112L, 119L, 110L, 
    119L, 132L, 94L, 113L, 115L, 116L, 102L, 108L, 120L, 130L, 
    101L, 136L, 126L, 127L, 119L, 105L, 104L, 138L, 114L, 120L, 
    110L, 100L, 118L, 107L, 107L, 144L, NA, 119L, 128L, 104L, 
    130L, 128L, 122L, 125L, 114L, 153L, 100L, 108L, 109L, 108L, 
    138L, 141L, 128L, 100L, 125L, 103L, 119L, 120L, 110L, 148L, 
    158L, 107L, 100L, 110L, 132L, 131L, 115L, 101L, 130L, 114L, 
    106L, 147L, 98L, 133L, 111L, NA, 96L, 130L, 135L, 125L, 114L, 
    122L, NA, 162L, 101L, 153L, 105L, 119L, 125L, 131L, 126L, 
    129L, 115L, 126L, 125L, 116L, 153L, 92L, 122L, 103L, 115L, 
    103L, 146L, 113L, 106L, 123L, 158L, 115L, 104L, NA, 100L, 
    137L, 130L, 98L, 114L, 111L, 131L, 112L, 129L, 110L, 121L, 
    167L, NA, 141L, 118L, 136L, 121L, 129L, 121L, 124L, 94L, 
    107L, 135L, 123L, 120L, 106L, 118L, 98L, 146L, 128L, 119L, 
    107L, 119L, 148L, 116L, 116L, 112L, NA, 119L, 122L, 118L, 
    138L, 136L, 143L, 103L, 119L, 143L, 117L, 100L, 107L, 99L, 
    126L, 127L, 113L, 121L, 125L, 104L, 115L, 123L, 126L, 116L, 
    NA, 126L, 120L, 120L, 100L, 114L, 119L, 131L, 128L, 124L, 
    119L, 125L, 130L, 136L, 102L, 107L, 122L, 99L, 122L, 117L, 
    115L, 151L, 131L, 145L, 149L, 121L, 118L, 144L, 126L, 108L, 
    122L, 138L, 126L, 98L, 143L, 114L, 115L, 105L, 125L, 90L, 
    115L, 113L, 108L, 110L, 147L, 134L, 122L, 129L, 107L, 103L, 
    122L, 123L, 144L, 111L, 174L, 101L, 120L, 115L, 110L, 130L, 
    120L, 136L, 127L, 142L, 133L, 156L, 113L, 112L, 123L, 139L, 
    129L, 114L, 115L, 131L, 140L, 143L, 142L, 149L, 161L, 112L, 
    97L, 127L, 165L, 134L, 99L, 123L, 124L, 101L, 129L, 107L, 
    110L, 127L, 114L, 139L, 109L, 112L, 127L, 115L, 119L, 138L, 
    91L, NA, 89L, 120L, 130L, 85L, 117L, 118L, 109L, 122L, 142L, 
    99L, 123L, 169L, 120L, 135L, 115L, 138L, 125L, 109L, 121L, 
    108L, 118L, 153L, 112L, 111L, NA, 127L, 115L, 101L, 129L, 
    143L, 140L, 139L, 128L, 140L, 133L, 133L, 167L, 109L, 134L, 
    149L, 139L, 107L, 119L, 141L, 111L, 174L, 116L, 110L, 116L, 
    123L, 102L, 123L, 110L, 119L, 104L, 111L, 158L, 124L, 132L, 
    113L, 138L, NA, 104L, 126L, 106L, 135L, 142L, 159L, 106L, 
    114L, 119L, 141L, 120L, 151L, NA, 129L, 136L, 140L, 115L, 
    114L, 111L, 130L, 117L, 130L, 121L, 92L, 112L, 134L, 120L, 
    108L, 118L, 112L, 127L, NA, 119L), BPDiaAve = c(86L, 68L, 
    74L, 74L, 103L, 88L, 65L, 76L, 46L, 52L, 68L, 77L, 62L, 75L, 
    NA, 72L, 68L, 71L, 86L, 79L, 68L, 62L, 61L, 78L, 42L, 69L, 
    61L, 42L, 88L, NA, 76L, 79L, 55L, 70L, 63L, 71L, 94L, 49L, 
    82L, 69L, 77L, 69L, 78L, 67L, 76L, 68L, 77L, 62L, 73L, 64L, 
    74L, 70L, NA, 84L, 73L, 82L, 73L, 71L, 85L, 77L, 71L, 68L, 
    69L, 80L, 68L, 68L, NA, 80L, 71L, 25L, 74L, 79L, 73L, 70L, 
    69L, 68L, 46L, 73L, 84L, 48L, 54L, NA, 69L, 65L, 69L, 77L, 
    67L, 59L, 82L, 74L, 58L, 86L, 69L, 74L, 84L, 67L, 78L, 54L, 
    67L, 65L, 77L, NA, NA, 81L, 74L, 84L, 70L, 49L, 66L, 88L, 
    62L, 60L, 71L, 66L, 72L, 49L, 59L, 73L, 63L, 55L, 71L, NA, 
    67L, 72L, 54L, 68L, 65L, 70L, 69L, 63L, 78L, 110L, NA, 65L, 
    70L, 56L, 61L, 82L, 52L, 75L, 71L, 55L, 33L, 60L, 69L, 66L, 
    54L, 68L, 68L, 50L, 74L, 79L, 67L, 71L, 83L, 65L, 67L, 54L, 
    70L, 88L, 62L, 68L, 58L, 76L, 81L, 70L, 69L, 82L, NA, 65L, 
    63L, 64L, 78L, 63L, 67L, 86L, 61L, 59L, 63L, 75L, 68L, 68L, 
    75L, 78L, 87L, 68L, 74L, 71L, 69L, 71L, 84L, 72L, 53L, 71L, 
    62L, 79L, 82L, 69L, 81L, 55L, 73L, 58L, 70L, 84L, 58L, 92L, 
    76L, NA, 62L, 55L, 86L, 68L, 59L, 79L, NA, 106L, 68L, 71L, 
    71L, 76L, 73L, 69L, 83L, 60L, 61L, 67L, 80L, 66L, 48L, 67L, 
    72L, 77L, 82L, 74L, 36L, 74L, 76L, 60L, 82L, 78L, 58L, NA, 
    68L, 75L, 88L, 71L, 59L, 68L, 82L, 77L, 80L, 73L, 26L, 75L, 
    NA, 81L, 73L, 68L, 65L, 72L, 85L, 49L, 54L, 58L, 93L, 83L, 
    82L, 72L, 69L, 63L, 74L, 86L, 65L, 68L, 69L, 46L, 66L, 83L, 
    71L, NA, 86L, 69L, 76L, 67L, 79L, 96L, 74L, 75L, 94L, 66L, 
    67L, 65L, 62L, 72L, 63L, 58L, 74L, 77L, 65L, 75L, 75L, 80L, 
    75L, NA, 71L, 74L, 64L, 57L, 73L, 61L, 81L, 76L, 70L, 80L, 
    64L, 78L, 68L, 53L, 72L, 65L, 64L, 75L, 71L, 54L, 81L, 81L, 
    79L, 68L, 75L, 70L, 94L, 68L, 80L, 52L, 35L, 86L, 60L, 102L, 
    72L, 59L, 70L, 77L, 60L, 80L, 60L, 62L, 75L, 69L, 78L, 70L, 
    65L, 64L, 63L, 73L, 55L, 72L, 84L, 88L, 67L, 84L, 75L, 70L, 
    24L, 78L, 92L, 75L, 75L, 64L, 57L, 65L, 75L, 70L, 64L, 86L, 
    63L, 68L, 84L, 79L, 75L, 76L, 75L, 48L, 47L, 70L, 66L, 74L, 
    73L, 64L, 73L, 69L, 65L, 82L, 69L, 72L, 83L, 86L, 58L, 49L, 
    67L, 78L, 85L, 76L, 61L, 73L, NA, 59L, 66L, 58L, 45L, 70L, 
    75L, 67L, 63L, 86L, 62L, 83L, 71L, 75L, 72L, 71L, 74L, 79L, 
    52L, 78L, 71L, 79L, 75L, 69L, 66L, NA, 81L, 69L, 61L, 70L, 
    93L, 68L, 64L, 90L, 84L, 82L, 64L, 87L, 73L, 83L, 68L, 65L, 
    51L, 78L, 76L, 71L, 68L, 76L, 63L, 81L, 89L, 68L, 82L, 55L, 
    80L, 63L, 74L, 60L, 85L, 73L, 71L, 69L, NA, 64L, 70L, 59L, 
    79L, 87L, 90L, 66L, 69L, 57L, 81L, 80L, 66L, NA, 78L, 79L, 
    76L, 74L, 64L, 65L, 89L, 74L, 87L, 72L, 64L, 69L, 78L, 44L, 
    79L, 67L, 49L, 85L, NA, 66L), BPSys1 = c(122L, 124L, 120L, 
    134L, 144L, 150L, 120L, 114L, 108L, 170L, 106L, 118L, 116L, 
    108L, NA, 106L, 120L, 138L, NA, 110L, 126L, 138L, 128L, 130L, 
    144L, 144L, 126L, 142L, 114L, NA, 116L, 114L, 126L, 102L, 
    104L, 100L, 140L, 102L, 140L, 98L, 98L, 140L, 118L, 142L, 
    112L, 136L, 124L, 100L, 96L, 124L, 118L, 112L, NA, 156L, 
    132L, 184L, 140L, NA, 120L, 112L, 104L, 130L, 116L, 146L, 
    110L, 132L, NA, 114L, 98L, 112L, 114L, 134L, 134L, 126L, 
    98L, 110L, 94L, 106L, 124L, 108L, 134L, NA, 128L, 136L, 130L, 
    144L, 116L, 108L, 130L, 126L, 114L, 126L, 124L, 104L, 122L, 
    94L, 120L, 126L, 106L, 130L, 132L, NA, NA, 142L, 122L, 168L, 
    124L, 116L, 88L, 144L, 112L, 102L, NA, 116L, 150L, 132L, 
    112L, 124L, 106L, 104L, 112L, NA, 116L, 112L, 110L, 130L, 
    114L, 120L, 106L, 116L, 114L, NA, NA, 104L, 148L, 104L, 104L, 
    136L, 124L, 118L, 118L, 108L, 132L, 140L, 98L, 112L, 112L, 
    114L, 98L, 110L, 122L, 132L, 114L, 138L, NA, 120L, 124L, 
    108L, NA, 144L, 112L, 126L, 118L, 100L, 120L, 110L, 108L, 
    NA, NA, 120L, 128L, 100L, 130L, 128L, 122L, 132L, 110L, 148L, 
    100L, 108L, 122L, 116L, 136L, 140L, 132L, 104L, 118L, NA, 
    112L, NA, NA, NA, 164L, 110L, 104L, 118L, 134L, 136L, 106L, 
    100L, 132L, 112L, 112L, 144L, 108L, 118L, 108L, NA, 102L, 
    126L, 132L, 124L, 108L, 124L, NA, 166L, 106L, 156L, 106L, 
    116L, 130L, 130L, NA, 128L, 110L, 126L, 124L, 114L, 158L, 
    98L, 128L, NA, 116L, NA, 140L, 120L, 108L, 128L, 152L, 110L, 
    108L, NA, 114L, 134L, 124L, 98L, 114L, 114L, 130L, 110L, 
    134L, 108L, 118L, 170L, NA, 146L, 116L, 152L, 124L, 134L, 
    118L, 126L, 98L, 116L, 144L, NA, 134L, 104L, 122L, 100L, 
    146L, 128L, 114L, 108L, 118L, 160L, 116L, 114L, 110L, NA, 
    124L, 122L, 118L, 144L, 134L, 142L, 106L, 112L, 144L, 132L, 
    104L, 104L, 98L, 128L, 128L, 122L, 116L, 120L, 114L, 124L, 
    136L, 126L, 114L, NA, 132L, 116L, 116L, 98L, 122L, 116L, 
    132L, 122L, 124L, 124L, 120L, 130L, 152L, 108L, 112L, 118L, 
    98L, 122L, NA, 118L, 148L, 134L, 148L, 158L, 122L, 106L, 
    134L, 130L, 106L, 126L, 134L, 134L, 102L, 150L, 118L, 116L, 
    110L, 120L, 86L, 120L, 124L, 108L, 108L, 146L, 142L, 126L, 
    130L, 106L, 106L, 126L, 136L, 144L, 112L, 176L, 106L, 132L, 
    118L, NA, NA, 124L, 134L, 130L, 144L, 130L, 152L, 106L, 112L, 
    128L, 140L, 136L, 116L, 118L, 136L, 142L, 150L, 144L, 150L, 
    164L, 120L, 100L, 128L, 180L, 138L, 98L, 124L, 124L, 96L, 
    128L, 106L, 114L, 130L, 118L, 142L, 110L, 112L, 128L, 122L, 
    120L, 136L, 94L, NA, 94L, 120L, 136L, 92L, 120L, 124L, 110L, 
    126L, 142L, 98L, 124L, 172L, 118L, 158L, 130L, 136L, 126L, 
    114L, 122L, 106L, 118L, 160L, 118L, 114L, NA, 130L, 114L, 
    100L, 128L, 144L, 142L, 150L, 122L, 134L, 128L, 144L, NA, 
    NA, 134L, 150L, 140L, 110L, 118L, 144L, 104L, 174L, 126L, 
    104L, 118L, 122L, 100L, 126L, 114L, 122L, 114L, 114L, 168L, 
    124L, 134L, 112L, 128L, NA, 106L, 122L, 110L, 136L, 134L, 
    164L, 96L, 122L, 128L, 146L, 124L, 146L, NA, 126L, 134L, 
    144L, 110L, 114L, 116L, 124L, 116L, 124L, NA, 106L, 114L, 
    136L, 126L, 110L, 124L, 110L, 128L, NA, 114L), BPDia1 = c(88L, 
    66L, 70L, 72L, 104L, 94L, 68L, 82L, 44L, 76L, 68L, 80L, 64L, 
    72L, NA, 70L, 62L, 76L, NA, 80L, 74L, 64L, 60L, 82L, 52L, 
    84L, 62L, 48L, 86L, NA, 76L, 78L, 66L, 70L, 60L, 68L, 100L, 
    54L, 82L, 68L, 68L, 32L, 76L, 66L, 78L, 62L, 74L, 66L, 74L, 
    66L, 74L, 68L, NA, 90L, 66L, 92L, 66L, NA, 88L, 76L, 68L, 
    74L, 82L, 82L, 72L, 70L, NA, 74L, 72L, 58L, 74L, 76L, 74L, 
    76L, 68L, 68L, 50L, 70L, 80L, 48L, 72L, NA, 70L, 66L, 64L, 
    76L, 68L, 60L, 84L, 78L, 66L, 90L, 76L, 66L, 82L, 64L, 78L, 
    60L, 64L, 68L, 82L, NA, NA, 82L, 78L, 86L, 72L, 48L, 64L, 
    92L, 68L, 54L, NA, 62L, 82L, 56L, 62L, 72L, 58L, 62L, 74L, 
    NA, 66L, 74L, 56L, 68L, 66L, 72L, 74L, 62L, 76L, NA, NA, 
    66L, 76L, 58L, 60L, 80L, 50L, 76L, 70L, 54L, 34L, 60L, 68L, 
    62L, 54L, 80L, 68L, 52L, 76L, 78L, 64L, 68L, NA, 68L, 64L, 
    54L, NA, 86L, 66L, 62L, 60L, 74L, 80L, 72L, 70L, NA, NA, 
    72L, 72L, 56L, 72L, 70L, 66L, 86L, 68L, 58L, 62L, 74L, 68L, 
    68L, 82L, 82L, 88L, 66L, 76L, NA, 66L, NA, NA, NA, 62L, 72L, 
    66L, 84L, 86L, 62L, 86L, 52L, 74L, 64L, 64L, 90L, 64L, 86L, 
    72L, NA, 54L, 66L, 84L, 68L, 56L, 78L, NA, 110L, 60L, 64L, 
    72L, 70L, 80L, 70L, NA, 62L, 64L, 68L, 82L, 64L, 56L, 72L, 
    76L, NA, 74L, NA, 40L, 70L, 76L, 72L, 88L, 76L, 66L, NA, 
    70L, 72L, 92L, 68L, 62L, 68L, 84L, 78L, 80L, 76L, 60L, 64L, 
    NA, 74L, 72L, 62L, 68L, 72L, 82L, 56L, 66L, 60L, 96L, NA, 
    78L, 68L, 78L, 66L, 78L, 86L, 68L, 72L, 68L, 54L, 64L, 76L, 
    72L, NA, 82L, 68L, 74L, 68L, 80L, 102L, 78L, 76L, 94L, 70L, 
    66L, 66L, 60L, 74L, 64L, 54L, 74L, 82L, 62L, 78L, 82L, 74L, 
    78L, NA, 80L, 76L, 62L, 52L, 78L, 60L, 82L, 74L, 70L, 78L, 
    64L, 72L, 62L, 58L, 76L, 68L, 64L, 82L, NA, 60L, 78L, 82L, 
    82L, 66L, 68L, 74L, 96L, 74L, 80L, 66L, 48L, 82L, 60L, 102L, 
    72L, 54L, 72L, 82L, 62L, 84L, 60L, 64L, 78L, 70L, 74L, 76L, 
    60L, 60L, 72L, 74L, 56L, 72L, 88L, 88L, 60L, 84L, 84L, NA, 
    NA, 80L, 92L, 76L, 70L, 62L, 62L, 64L, 74L, 68L, 62L, 94L, 
    68L, 66L, 88L, 80L, 70L, 78L, 76L, 48L, 50L, 76L, 66L, 78L, 
    72L, 64L, 78L, 70L, 58L, 84L, 70L, 70L, 84L, 82L, 54L, 52L, 
    68L, 78L, 90L, 74L, 54L, 70L, NA, 62L, 66L, 62L, 50L, 70L, 
    76L, 72L, 76L, 76L, 62L, 82L, 80L, 68L, 80L, 66L, 76L, 84L, 
    52L, 76L, 66L, 78L, 74L, 66L, 66L, NA, 80L, 68L, 64L, 60L, 
    96L, 78L, 66L, 80L, 96L, 88L, 62L, NA, NA, 84L, 74L, 68L, 
    48L, 84L, 78L, 70L, 68L, 74L, 64L, 84L, 88L, 68L, 78L, 56L, 
    74L, 64L, 76L, 72L, 84L, 78L, 70L, 68L, NA, 68L, 66L, 60L, 
    72L, 76L, 90L, 62L, 62L, 56L, 74L, 82L, 74L, NA, 78L, 80L, 
    74L, 74L, 62L, 64L, 80L, 74L, 82L, NA, 72L, 68L, 78L, 52L, 
    78L, 68L, 50L, 82L, NA, 64L), BPSys2 = c(124L, 120L, 118L, 
    130L, 150L, 148L, 118L, 114L, 108L, 168L, 104L, 120L, 116L, 
    116L, NA, 98L, 122L, 136L, 124L, 118L, 136L, 142L, 124L, 
    128L, 132L, 142L, 132L, 136L, 112L, NA, 106L, 110L, 138L, 
    NA, 102L, 110L, 132L, 114L, 138L, 112L, 104L, 142L, 108L, 
    144L, 118L, 138L, 116L, 96L, 98L, 124L, 124L, 112L, NA, 150L, 
    130L, 176L, 136L, 184L, 118L, 110L, 102L, 134L, 110L, 140L, 
    110L, 124L, NA, 118L, 98L, 112L, 110L, 128L, 124L, 124L, 
    112L, 112L, 100L, 102L, 120L, 110L, NA, NA, 128L, 128L, 134L, 
    138L, 114L, 110L, 124L, 132L, 120L, 126L, 120L, 108L, 120L, 
    88L, 118L, 124L, 112L, 126L, 134L, NA, NA, 144L, 116L, 164L, 
    118L, 102L, 96L, 144L, 114L, 100L, 120L, NA, 140L, 140L, 
    108L, 128L, 110L, 102L, 104L, NA, 118L, 102L, 112L, 134L, 
    114L, 122L, 104L, 110L, 120L, NA, NA, 98L, 150L, 106L, 104L, 
    120L, 132L, 112L, 118L, 110L, 120L, NA, 94L, 110L, 114L, 
    122L, NA, 106L, 122L, 132L, 104L, 140L, 126L, 130L, 122L, 
    106L, NA, 144L, 118L, 122L, 112L, 96L, 118L, 108L, 106L, 
    144L, NA, 120L, 128L, 102L, 126L, 130L, 120L, 126L, 124L, 
    154L, 100L, 106L, 116L, 114L, 146L, 142L, 134L, 100L, 126L, 
    114L, 120L, 120L, 110L, 150L, 160L, 108L, 100L, 106L, 132L, 
    128L, 114L, 100L, 130L, 118L, 106L, 142L, 96L, 132L, 110L, 
    NA, 100L, 138L, 136L, 124L, 114L, 122L, NA, 162L, 98L, 154L, 
    102L, 124L, 128L, 130L, 126L, 130L, 116L, 126L, 126L, 116L, 
    154L, 92L, 118L, 102L, 116L, 102L, 150L, 116L, 106L, 124L, 
    162L, 116L, 108L, NA, 96L, 140L, 134L, 98L, 110L, 112L, 130L, 
    110L, 130L, 112L, 120L, 170L, NA, 140L, 116L, 138L, 120L, 
    132L, 118L, 124L, 94L, 108L, 132L, 118L, NA, 102L, 118L, 
    94L, 148L, 132L, 118L, 108L, 118L, 146L, 118L, 116L, 114L, 
    NA, 118L, 120L, 120L, 142L, 138L, 136L, 104L, 120L, 148L, 
    118L, 96L, 98L, 102L, 126L, 128L, 112L, 120L, 122L, 102L, 
    122L, 118L, 126L, 118L, NA, 126L, 120L, 122L, 98L, 116L, 
    122L, 130L, 128L, NA, 114L, 124L, 126L, 138L, 102L, 102L, 
    124L, 102L, 122L, 116L, 112L, 154L, 132L, 146L, 150L, 124L, 
    118L, 144L, 126L, NA, 122L, 140L, 126L, 98L, 146L, 114L, 
    112L, 108L, 122L, 86L, 114L, 112L, 106L, 110L, 152L, 136L, 
    124L, 128L, 108L, 104L, 124L, 120L, NA, 110L, 176L, 98L, 
    126L, 116L, 112L, 134L, 120L, 136L, 126L, 144L, 136L, 158L, 
    112L, 114L, 126L, 142L, 130L, 114L, 114L, 136L, 140L, 144L, 
    142L, 152L, 162L, 112L, 96L, 128L, 176L, 138L, 102L, 124L, 
    126L, 98L, 130L, 106L, 106L, 128L, 116L, 134L, 110L, 114L, 
    126L, 116L, 120L, 138L, 94L, NA, 92L, 124L, 130L, 86L, 114L, 
    120L, 108L, 122L, 144L, 104L, 128L, 172L, 120L, 134L, 114L, 
    140L, 126L, 110L, 128L, 106L, 118L, 148L, 110L, 110L, NA, 
    124L, 116L, 98L, 124L, 140L, 138L, 138L, 126L, 132L, 132L, 
    132L, 164L, 112L, 136L, 144L, 136L, 106L, 122L, 136L, 112L, 
    170L, 114L, 106L, 116L, 124L, 98L, 128L, 106L, 122L, 102L, 
    110L, 162L, 122L, 136L, 118L, 134L, NA, 104L, 126L, 106L, 
    138L, 148L, 158L, 104L, 114L, 116L, 140L, 120L, 148L, NA, 
    128L, 138L, 134L, 114L, 112L, 114L, 130L, 118L, 130L, 122L, 
    94L, 114L, 134L, 118L, 110L, 120L, 114L, 130L, NA, 118L), 
    BPDia2 = c(86L, 66L, 74L, 72L, 106L, 92L, 62L, 76L, 46L, 
    52L, 68L, 78L, 62L, 72L, NA, 72L, 66L, 72L, 86L, 80L, 66L, 
    64L, 60L, 82L, 38L, 70L, 60L, 38L, 86L, NA, 78L, 78L, 54L, 
    NA, 62L, 74L, 94L, 50L, 82L, 72L, 76L, 68L, 80L, 68L, 76L, 
    68L, 76L, 60L, 72L, 62L, 70L, 70L, NA, 86L, 74L, 84L, 74L, 
    70L, 86L, 78L, 72L, 64L, 68L, 82L, 64L, 66L, NA, 80L, 68L, 
    50L, 74L, 84L, 74L, 72L, 72L, 68L, 48L, 72L, 84L, 48L, NA, 
    NA, 68L, 64L, 70L, 76L, 66L, 58L, 82L, 74L, 58L, 84L, 66L, 
    76L, 84L, 66L, 76L, 52L, 66L, 66L, 72L, NA, NA, 82L, 74L, 
    88L, 64L, 46L, 68L, 88L, 64L, 58L, 68L, NA, 74L, 56L, 58L, 
    74L, 64L, 50L, 68L, NA, 64L, 70L, 56L, 68L, 68L, 70L, 70L, 
    62L, 78L, NA, NA, 62L, 74L, 54L, 58L, 84L, 54L, 78L, 72L, 
    52L, 34L, NA, 70L, 66L, 56L, 76L, NA, 50L, 78L, 76L, 68L, 
    66L, 84L, 68L, 64L, 50L, NA, 90L, 62L, 68L, 54L, 78L, 78L, 
    72L, 68L, 82L, NA, 66L, 64L, 64L, 82L, 64L, 66L, 88L, 62L, 
    58L, 60L, 72L, 66L, 70L, 74L, 80L, 86L, 72L, 80L, 76L, 68L, 
    68L, 84L, 70L, 54L, 72L, 64L, 74L, 82L, 70L, 82L, 56L, 70L, 
    52L, 70L, 88L, 58L, 90L, 74L, NA, 62L, 54L, 84L, 68L, 66L, 
    82L, NA, 108L, 70L, 72L, 72L, 80L, 74L, 70L, 84L, 62L, 60L, 
    62L, 80L, 68L, 52L, 70L, 72L, 84L, 82L, 70L, 36L, 72L, 72L, 
    62L, 80L, 78L, 56L, NA, 66L, 78L, 88L, 72L, 58L, 70L, 82L, 
    78L, 80L, 70L, 0L, 80L, NA, 80L, 76L, 66L, 66L, 74L, 86L, 
    50L, 50L, 62L, 92L, 82L, NA, 70L, 70L, 60L, 74L, 86L, 64L, 
    64L, 68L, 52L, 68L, 84L, 70L, NA, 88L, 72L, 76L, 70L, 78L, 
    96L, 74L, 74L, 96L, 70L, 68L, 62L, 62L, 74L, 64L, 52L, 74L, 
    76L, 64L, 78L, 74L, 78L, 76L, NA, 70L, 74L, 66L, 52L, 76L, 
    58L, 84L, 74L, NA, 80L, 60L, 82L, 66L, 54L, 74L, 68L, 66L, 
    74L, 70L, 52L, 82L, 84L, 82L, 70L, 72L, 66L, 94L, 68L, NA, 
    52L, 36L, 86L, 60L, 100L, 70L, 58L, 64L, 76L, 56L, 78L, 64L, 
    64L, 74L, 68L, 80L, 74L, 66L, 64L, 64L, 70L, 56L, NA, 88L, 
    88L, 68L, 84L, 76L, 68L, 48L, 78L, 90L, 74L, 74L, 62L, 54L, 
    64L, 76L, 70L, 64L, 88L, 64L, 68L, 86L, 78L, 76L, 76L, 78L, 
    48L, 46L, 70L, 66L, 72L, 76L, 66L, 74L, 68L, 66L, 84L, 68L, 
    70L, 88L, 88L, 58L, 50L, 68L, 78L, 86L, 78L, 60L, 76L, NA, 
    64L, 68L, 62L, 44L, 64L, 72L, 66L, 64L, 84L, 60L, 82L, 74L, 
    72L, 76L, 72L, 74L, 80L, 54L, 76L, 72L, 78L, 72L, 70L, 66L, 
    NA, 82L, 68L, 62L, 74L, 94L, 72L, 66L, 90L, 86L, 82L, 68L, 
    90L, 70L, 84L, 64L, 72L, 48L, 72L, 76L, 74L, 68L, 76L, 64L, 
    78L, 88L, 68L, 82L, 54L, 82L, 60L, 72L, 58L, 84L, 72L, 70L, 
    68L, NA, 66L, 70L, 58L, 78L, 84L, 88L, 64L, 70L, 54L, 80L, 
    80L, 66L, NA, 76L, 78L, 74L, 76L, 64L, 66L, 90L, 72L, 82L, 
    70L, 66L, 70L, 76L, 48L, 78L, 68L, 48L, 88L, NA, 68L), BPSys3 = c(126L, 
    122L, 122L, 134L, 154L, 148L, 126L, 114L, 108L, 168L, 102L, 
    118L, 116L, 116L, NA, NA, 124L, 134L, 120L, 114L, 138L, 136L, 
    120L, 126L, 132L, 140L, 124L, 134L, 114L, NA, 112L, 114L, 
    122L, 102L, 106L, 122L, 132L, 114L, 124L, 100L, 96L, 142L, 
    120L, 138L, 112L, 128L, 120L, 100L, 106L, 116L, 116L, 112L, 
    NA, 154L, 132L, 182L, 142L, 182L, 116L, 104L, 100L, 136L, 
    122L, 136L, 114L, 126L, NA, 124L, 104L, 110L, 114L, 130L, 
    126L, 126L, 100L, 104L, 100L, 104L, 126L, 112L, 114L, NA, 
    128L, 130L, 126L, 144L, 114L, 112L, 124L, 126L, 118L, 122L, 
    126L, 108L, 112L, 88L, 112L, 118L, 106L, 122L, 126L, NA, 
    NA, 148L, 112L, 164L, 116L, 96L, 94L, 144L, 114L, 94L, 120L, 
    108L, 128L, 144L, 106L, 126L, 112L, 102L, 102L, NA, 110L, 
    100L, 106L, 134L, 112L, 124L, 106L, 122L, 112L, 150L, NA, 
    116L, 152L, 100L, 106L, 130L, 132L, 112L, 120L, 110L, 118L, 
    132L, 94L, 116L, 116L, 110L, 102L, 110L, 118L, 128L, 98L, 
    132L, 126L, 124L, 116L, 104L, 104L, 132L, 110L, 118L, 108L, 
    104L, 118L, 106L, 108L, NA, NA, 118L, 128L, 106L, 134L, 126L, 
    124L, 124L, 104L, 152L, 100L, 110L, 102L, 102L, 130L, 140L, 
    122L, 100L, 124L, 92L, 118L, 120L, 110L, 146L, 156L, 106L, 
    100L, 114L, 132L, 134L, 116L, 102L, 130L, 110L, 106L, 152L, 
    100L, 134L, 112L, NA, 92L, 122L, 134L, 126L, 114L, 122L, 
    NA, 162L, 104L, 152L, 108L, 114L, 122L, 132L, 126L, 128L, 
    114L, 126L, 124L, 116L, 152L, 92L, 126L, 104L, 114L, 104L, 
    142L, 110L, 106L, 122L, 154L, 114L, 100L, NA, 104L, 134L, 
    126L, 98L, 118L, 110L, 132L, 114L, 128L, 108L, 122L, 164L, 
    NA, 142L, 120L, 134L, 122L, 126L, 124L, 124L, 94L, 106L, 
    138L, 128L, 120L, 110L, 118L, 102L, 144L, 124L, 120L, 106L, 
    120L, 150L, 114L, 116L, 110L, NA, 120L, 124L, 116L, 134L, 
    134L, 150L, 102L, 118L, 138L, 116L, 104L, 116L, 96L, 126L, 
    126L, 114L, 122L, 128L, 106L, 108L, 128L, 126L, 114L, NA, 
    126L, NA, 118L, 102L, 112L, 116L, 132L, 128L, NA, 124L, 126L, 
    134L, 134L, 102L, 112L, 120L, 96L, 122L, 118L, 118L, 148L, 
    130L, 144L, 148L, 118L, 118L, 144L, 126L, 108L, NA, 136L, 
    126L, 98L, 140L, 114L, 118L, 102L, 128L, 94L, 116L, 114L, 
    110L, 110L, 142L, 132L, 120L, 130L, 106L, 102L, 120L, 126L, 
    NA, 112L, 172L, 104L, 114L, 114L, 108L, 126L, NA, 136L, 128L, 
    140L, 130L, 154L, 114L, 110L, 120L, 136L, 128L, 114L, 116L, 
    126L, 140L, 142L, NA, 146L, 160L, 112L, 98L, 126L, 154L, 
    130L, 96L, 122L, 122L, 104L, 128L, 108L, 114L, 126L, 112L, 
    144L, 108L, 110L, 128L, 114L, 118L, 138L, 88L, NA, 86L, 116L, 
    130L, 84L, 120L, 116L, 110L, 122L, 140L, 94L, 118L, 166L, 
    120L, 136L, 116L, 136L, 124L, 108L, 114L, 110L, 118L, 158L, 
    114L, 112L, NA, 130L, 114L, 104L, 134L, 146L, 142L, 140L, 
    130L, 148L, 134L, 134L, 170L, 106L, 132L, 154L, 142L, 108L, 
    116L, 146L, 110L, 178L, 118L, 114L, 116L, 122L, 106L, 118L, 
    114L, 116L, 106L, 112L, 154L, 126L, 128L, 108L, 142L, NA, 
    104L, 126L, 106L, 132L, 136L, 160L, 108L, 114L, 122L, 142L, 
    120L, 154L, NA, 130L, 134L, 146L, 116L, 116L, 108L, 130L, 
    116L, 130L, 120L, 90L, 110L, 134L, 122L, 106L, 116L, 110L, 
    124L, NA, 120L), BPDia3 = c(86L, 70L, 74L, 76L, 100L, 84L, 
    68L, 76L, 46L, 52L, 68L, 76L, 62L, 78L, NA, NA, 70L, 70L, 
    86L, 78L, 70L, 60L, 62L, 74L, 46L, 68L, 62L, 46L, 90L, NA, 
    74L, 80L, 56L, 70L, 64L, 68L, 94L, 48L, 82L, 66L, 78L, 70L, 
    76L, 66L, 76L, 68L, 78L, 64L, 74L, 66L, 78L, 70L, NA, 82L, 
    72L, 80L, 72L, 72L, 84L, 76L, 70L, 72L, 70L, 78L, 72L, 70L, 
    NA, 80L, 74L, 0L, 74L, 74L, 72L, 68L, 66L, 68L, 44L, 74L, 
    84L, 48L, 54L, NA, 70L, 66L, 68L, 78L, 68L, 60L, 82L, 74L, 
    58L, 88L, 72L, 72L, 84L, 68L, 80L, 56L, 68L, 64L, 82L, NA, 
    NA, 80L, 74L, 80L, 76L, 52L, 64L, 88L, 60L, 62L, 74L, 66L, 
    70L, 42L, 60L, 72L, 62L, 60L, 74L, NA, 70L, 74L, 52L, 68L, 
    62L, 70L, 68L, 64L, 78L, 110L, NA, 68L, 66L, 58L, 64L, 80L, 
    50L, 72L, 70L, 58L, 32L, 60L, 68L, 66L, 52L, 60L, 68L, 50L, 
    70L, 82L, 66L, 76L, 82L, 62L, 70L, 58L, 70L, 86L, 62L, 68L, 
    62L, 74L, 84L, 68L, 70L, NA, NA, 64L, 62L, 64L, 74L, 62L, 
    68L, 84L, 60L, 60L, 66L, 78L, 70L, 66L, 76L, 76L, 88L, 64L, 
    68L, 66L, 70L, 74L, 84L, 74L, 52L, 70L, 60L, 84L, 82L, 68L, 
    80L, 54L, 76L, 64L, 70L, 80L, 58L, 94L, 78L, NA, 62L, 56L, 
    88L, 68L, 52L, 76L, NA, 104L, 66L, 70L, 70L, 72L, 72L, 68L, 
    82L, 58L, 62L, 72L, 80L, 64L, 44L, 64L, 72L, 70L, 82L, 78L, 
    36L, 76L, 80L, 58L, 84L, 78L, 60L, NA, 70L, 72L, 88L, 70L, 
    60L, 66L, 82L, 76L, 80L, 76L, 52L, 70L, NA, 82L, 70L, 70L, 
    64L, 70L, 84L, 48L, 58L, 54L, 94L, 84L, 82L, 74L, 68L, 66L, 
    74L, 86L, 66L, 72L, 70L, 40L, 64L, 82L, 72L, NA, 84L, 66L, 
    76L, 64L, 80L, 96L, 74L, 76L, 92L, 62L, 66L, 68L, 62L, 70L, 
    62L, 64L, 74L, 78L, 66L, 72L, 76L, 82L, 74L, NA, 72L, NA, 
    62L, 62L, 70L, 64L, 78L, 78L, NA, 80L, 68L, 74L, 70L, 52L, 
    70L, 62L, 62L, 76L, 72L, 56L, 80L, 78L, 76L, 66L, 78L, 74L, 
    94L, 68L, 80L, NA, 34L, 86L, 60L, 104L, 74L, 60L, 76L, 78L, 
    64L, 82L, 56L, 60L, 76L, 70L, 76L, 66L, 64L, 64L, 62L, 76L, 
    54L, NA, 80L, 88L, 66L, 84L, 74L, 72L, 0L, NA, 94L, 76L, 
    76L, 66L, 60L, 66L, 74L, 70L, 64L, 84L, 62L, 68L, 82L, 80L, 
    74L, NA, 72L, 48L, 48L, 70L, 66L, 76L, 70L, 62L, 72L, 70L, 
    64L, 80L, 70L, 74L, 78L, 84L, 58L, 48L, 66L, 78L, 84L, 74L, 
    62L, 70L, NA, 54L, 64L, 54L, 46L, 76L, 78L, 68L, 62L, 88L, 
    64L, 84L, 68L, 78L, 68L, 70L, 74L, 78L, 50L, 80L, 70L, 80L, 
    78L, 68L, 66L, NA, 80L, 70L, 60L, 66L, 92L, 64L, 62L, 90L, 
    82L, 82L, 60L, 84L, 76L, 82L, 72L, 58L, 54L, 84L, 76L, 68L, 
    68L, 76L, 62L, 84L, 90L, 68L, 82L, 56L, 78L, 66L, 76L, 62L, 
    86L, 74L, 72L, 70L, NA, 62L, 70L, 60L, 80L, 90L, 92L, 68L, 
    68L, 60L, 82L, 80L, 66L, NA, 80L, 80L, 78L, 72L, 64L, 64L, 
    88L, 76L, 92L, 74L, 62L, 68L, 80L, 40L, 80L, 66L, 50L, 82L, 
    NA, 64L), Testosterone = c(525.37, 5.9800000000000004, NA, 
    653.19000000000005, 8.1699999999999999, NA, 300.73000000000002, 
    445.99000000000001, NA, NA, NA, 461.77999999999997, NA, NA, 
    51.859999999999999, NA, 726.99000000000001, NA, NA, 6.0599999999999996, 
    NA, NA, 322.26999999999998, 276.63, NA, 640.75999999999999, 
    3.2200000000000002, 359.13, 437.43000000000001, 214.34999999999999, 
    10.539999999999999, 278.14999999999998, NA, NA, NA, 342, 
    358.52999999999997, NA, NA, 479.83999999999997, 14.83, 8.1199999999999992, 
    18.25, NA, NA, NA, 92.370000000000005, 12.039999999999999, 
    NA, 19.93, NA, 19.5, 25.030000000000001, 20.879999999999999, 
    18.91, NA, 27.68, NA, 14.83, NA, 688.13999999999999, 636.14999999999998, 
    25.57, NA, 623.25, 563.66999999999996, 33.990000000000002, 
    NA, NA, 363, 27.350000000000001, NA, NA, NA, 479.83999999999997, 
    NA, 36.200000000000003, NA, NA, 18.02, NA, 13.15, 15.369999999999999, 
    NA, NA, 221.12, NA, NA, NA, 18.73, 7.8399999999999999, NA, 
    5.4500000000000002, 19.73, NA, NA, NA, NA, NA, 16.02, 676.00999999999999, 
    64.359999999999999, NA, NA, 446.12, 29.530000000000001, NA, 
    NA, NA, NA, NA, 445.76999999999998, 815.38999999999999, 8.3599999999999994, 
    NA, NA, 44.399999999999999, NA, NA, 131.31, NA, NA, NA, 22.550000000000001, 
    NA, 16.210000000000001, NA, 28.09, NA, 650.04999999999995, 
    179.25, NA, 240.09, NA, 67.659999999999997, NA, NA, NA, 26.760000000000002, 
    15.5, NA, 29.510000000000002, NA, 16.73, 13.06, 334.55000000000001, 
    NA, NA, 487.55000000000001, NA, NA, 172.33000000000001, NA, 
    NA, NA, 424.92000000000002, NA, 17.559999999999999, NA, 326, 
    NA, 24.199999999999999, NA, 12.25, NA, 238.34999999999999, 
    NA, 23.030000000000001, NA, 45.159999999999997, 40.310000000000002, 
    11.44, 357.57999999999998, 487.19999999999999, NA, NA, 20.620000000000001, 
    331.92000000000002, 293.00999999999999, NA, NA, 10.300000000000001, 
    26.969999999999999, NA, 1113.5799999999999, NA, NA, NA, NA, 
    815.38999999999999, 520.5, NA, NA, NA, 37.649999999999999, 
    20.530000000000001, 53.399999999999999, NA, 280, NA, 270.69999999999999, 
    NA, NA, NA, 19.699999999999999, 546.40999999999997, 9.9399999999999995, 
    NA, NA, NA, NA, NA, 723.23000000000002, 176.61000000000001, 
    240.09, NA, 371.37, NA, 28.629999999999999, 767, 18.66, 502.97000000000003, 
    NA, 28.52, NA, 532.53999999999996, NA, NA, 145.13, NA, 425.45999999999998, 
    NA, 277.50999999999999, 19.550000000000001, NA, 8.1899999999999995, 
    NA, NA, 79.219999999999999, NA, NA, NA, 350, 133.47, NA, 
    9.9000000000000004, 13.44, NA, NA, 209.27000000000001, 315.26999999999998, 
    NA, NA, 515.23000000000002, 17.539999999999999, 377.79000000000002, 
    NA, NA, 565.01999999999998, NA, 16.780000000000001, NA, NA, 
    507.00999999999999, NA, 260.32999999999998, NA, 13.710000000000001, 
    NA, 14.43, NA, NA, NA, NA, NA, NA, NA, 248.74000000000001, 
    183.55000000000001, NA, 64.049999999999997, NA, 680.92999999999995, 
    NA, NA, 522.86000000000001, NA, 17.100000000000001, NA, NA, 
    NA, NA, NA, 40.100000000000001, NA, 600.55999999999995, NA, 
    29.48, NA, 16.899999999999999, 233.65000000000001, 483.99000000000001, 
    17.07, 45.329999999999998, 209.58000000000001, 25.699999999999999, 
    NA, NA, 711.52999999999997, NA, NA, 137.91999999999999, NA, 
    536.22000000000003, NA, 357.57999999999998, NA, NA, 23.390000000000001, 
    311.08999999999997, 14.949999999999999, NA, 20.02, 958.48000000000002, 
    NA, 174.09999999999999, 25.829999999999998, 319.44999999999999, 
    NA, 23.41, 15.68, NA, NA, NA, NA, NA, 19.449999999999999, 
    NA, NA, NA, NA, 29.48, NA, 322.16000000000003, NA, 405.88, 
    NA, NA, 433.89999999999998, NA, NA, NA, NA, NA, NA, NA, 27.079999999999998, 
    NA, 26.210000000000001, NA, NA, NA, NA, 234.55000000000001, 
    NA, NA, NA, NA, 37.520000000000003, NA, 291, NA, 292.13, 
    NA, NA, 23.82, NA, NA, 12.640000000000001, NA, NA, 11.18, 
    NA, NA, 12.26, NA, NA, 14.949999999999999, NA, NA, NA, 529.13, 
    281.29000000000002, 18.850000000000001, NA, NA, NA, NA, 516.46000000000004, 
    15.220000000000001, 42.049999999999997, 254.56, NA, 490.00999999999999, 
    NA, 25.920000000000002, 288.61000000000001, NA, 27.390000000000001, 
    NA, NA, NA, NA, NA, NA, 361.05000000000001, 14.99, 455.88, 
    NA, NA, NA, 492, NA, 510.63999999999999, NA, 586.69000000000005, 
    NA, 29.260000000000002, 15.32, NA, NA, 20.52, 15.91, NA, 
    416.39999999999998, 442, NA, 391.64999999999998, NA, 43.380000000000003, 
    615, NA, NA, 386.91000000000003, NA, NA, 18.010000000000002, 
    NA, NA, NA, NA, NA, 262.89999999999998, NA, 9.2599999999999998, 
    83.019999999999996, NA, NA, 517.84000000000003, NA, 43.82, 
    NA, 437.72000000000003, NA, 23.359999999999999, NA, 23.949999999999999, 
    NA, 688, 14.91, 19.5, NA, NA, NA, 18.890000000000001, 6.7199999999999998, 
    377.79000000000002, NA, 311, NA, 537.23000000000002, NA, 
    NA, NA, NA, NA, 65.680000000000007, 328.41000000000003, NA, 
    NA, NA, NA, NA, NA, NA, NA, 37.969999999999999, NA, 13.640000000000001, 
    NA), DirectChol = c(1.29, 1.22, 1.3999999999999999, 1.8400000000000001, 
    2.4300000000000002, NA, 1.1399999999999999, 1.29, 1.3400000000000001, 
    1.6000000000000001, 1.8100000000000001, 1.3999999999999999, 
    2.6899999999999999, 1.0600000000000001, 1.71, 1.97, 1.45, 
    1.5, 0.69999999999999996, 1.71, 1.3200000000000001, 1.0900000000000001, 
    1.1399999999999999, 0.71999999999999997, 1.1100000000000001, 
    1.3700000000000001, 1.22, 1.73, 0.97999999999999998, 1.6299999999999999, 
    1.22, 1.01, 0.75, 1.4199999999999999, 1.1599999999999999, 
    1.5, 1.3200000000000001, 1.8100000000000001, 1.27, 1.22, 
    2.25, 1.71, 1.8100000000000001, 1.1399999999999999, 1.1399999999999999, 
    1.29, 0.71999999999999997, 1.8100000000000001, 1.9399999999999999, 
    1.27, 1.3200000000000001, 1.01, 0.82999999999999996, 1.3400000000000001, 
    1.3700000000000001, 1.3400000000000001, 1.97, 1.3999999999999999, 
    1.6000000000000001, 1.29, 1.3700000000000001, 1.71, 1.27, 
    NA, 1.3700000000000001, 1.71, 1.5800000000000001, 1.5800000000000001, 
    1.3200000000000001, 0.97999999999999998, 1.3999999999999999, 
    1.1899999999999999, 0.95999999999999996, 1.5800000000000001, 
    1.22, NA, 1.45, 1.1599999999999999, 1.6299999999999999, 1.47, 
    1.1100000000000001, 1.4199999999999999, 0.93000000000000005, 
    2.1200000000000001, 0.71999999999999997, 0.75, 1.0900000000000001, 
    1.01, 1.29, 1.3200000000000001, 1.78, 0.80000000000000004, 
    1.03, 0.95999999999999996, 1.6799999999999999, 1.1899999999999999, 
    0.78000000000000003, 1.3200000000000001, 1.55, 1.5, 1.29, 
    1.8899999999999999, 1.3400000000000001, 1.6799999999999999, 
    0.88, 1.3700000000000001, 0.91000000000000003, 1.27, 1.0600000000000001, 
    1.0600000000000001, 0.93000000000000005, 1.1399999999999999, 
    0.88, 1.53, 1.1899999999999999, 0.71999999999999997, 2.0899999999999999, 
    1.03, 1.8600000000000001, 1.0600000000000001, 1.78, 0.91000000000000003, 
    2.3300000000000001, 1.22, 1.1100000000000001, 1.76, 0.97999999999999998, 
    2.46, 1.3200000000000001, 1.5800000000000001, 1.1599999999999999, 
    0.84999999999999998, 1.24, 1.76, 1.6299999999999999, 1.4199999999999999, 
    1.4199999999999999, 1.5800000000000001, 0.67000000000000004, 
    2.2000000000000002, 1.5, 1.27, 1.1899999999999999, 2.0699999999999998, 
    1.3700000000000001, 1.3200000000000001, 2.1499999999999999, 
    1.5800000000000001, 1.3200000000000001, 1.0900000000000001, 
    1.8400000000000001, 0.75, 1.01, 1.9099999999999999, 1.53, 
    1.6000000000000001, 1.0600000000000001, 1.1399999999999999, 
    1.1100000000000001, 1.03, 1.55, 0.97999999999999998, 1.73, 
    1.47, 1.97, 1.3200000000000001, 1.4199999999999999, 1.55, 
    1.55, 2.0899999999999999, 1.6799999999999999, 1.8400000000000001, 
    1.0900000000000001, 1.1899999999999999, 2.04, 1.53, 1.53, 
    1.6799999999999999, 0.93000000000000005, 1.0900000000000001, 
    1.99, 0.95999999999999996, 1.8600000000000001, NA, 1.1599999999999999, 
    2.4300000000000002, 0.93000000000000005, 1.3700000000000001, 
    1.1599999999999999, 0.88, 1.01, 1.8100000000000001, 1.8400000000000001, 
    1.24, 1.1399999999999999, 1.3999999999999999, 2.02, 1.3200000000000001, 
    0.97999999999999998, 1.9399999999999999, 1.3200000000000001, 
    1.22, 1.27, 0.97999999999999998, 1.8400000000000001, 1.3999999999999999, 
    1.22, NA, NA, 0.75, 1.6000000000000001, NA, 0.88, 0.91000000000000003, 
    1.24, 1.3700000000000001, 1.3700000000000001, 1.71, 1.53, 
    1.27, 1.47, 1.8899999999999999, 1.53, 2.2999999999999998, 
    NA, 0.93000000000000005, 1.8600000000000001, 2.5099999999999998, 
    1.6299999999999999, 2.46, 1.29, 0.78000000000000003, 0.95999999999999996, 
    1.55, 1.45, 1.3400000000000001, 2.3799999999999999, 1.45, 
    1.22, 1.55, 1.1100000000000001, 0.54000000000000004, 1.0600000000000001, 
    1.22, 1.3999999999999999, 1.0600000000000001, 1.5, 1.24, 
    0.93000000000000005, 1.1399999999999999, 1.3200000000000001, 
    1.8600000000000001, 1.3200000000000001, 0.71999999999999997, 
    1.1100000000000001, 1.29, 1.45, 1.5800000000000001, 1.22, 
    2.48, 1.3200000000000001, 1.01, 1.6599999999999999, 1.01, 
    1.9399999999999999, 1.1899999999999999, 1.55, 1.0900000000000001, 
    1.4199999999999999, 0.93000000000000005, 1.45, NA, 0.52000000000000002, 
    0.91000000000000003, 1.71, 1.4199999999999999, 1.3400000000000001, 
    1.0600000000000001, 1.1100000000000001, 1.1100000000000001, 
    1.3200000000000001, 1.8400000000000001, 0.91000000000000003, 
    1.1399999999999999, 1.4199999999999999, 2.1499999999999999, 
    2.0699999999999998, 1.8600000000000001, 1.01, 0.78000000000000003, 
    0.88, 1.76, 1.1399999999999999, 0.78000000000000003, 1.6799999999999999, 
    1.76, 2.02, 1.27, 1.45, 1.1899999999999999, 1.1100000000000001, 
    1.0900000000000001, 1.03, 2.6899999999999999, 0.95999999999999996, 
    2.46, 1.45, 1.4199999999999999, 1.76, 1.5, 1.1599999999999999, 
    1.47, NA, 1.01, 0.80000000000000004, 1.0900000000000001, 
    1.5800000000000001, 1.03, 1.3999999999999999, 1.1899999999999999, 
    1.71, NA, 1.6599999999999999, 1.6599999999999999, NA, 1.22, 
    1.29, 0.97999999999999998, 1.4199999999999999, 2.4300000000000002, 
    2.04, 0.58999999999999997, 2.02, 1.0600000000000001, 2.1499999999999999, 
    1.1899999999999999, 1.71, NA, 1.5, 0.93000000000000005, 1.45, 
    1.27, 2.02, 1.1399999999999999, 1.47, 1.03, 1.3700000000000001, 
    1.6799999999999999, 1.3700000000000001, 2.0899999999999999, 
    0.97999999999999998, NA, NA, 1.3999999999999999, 0.67000000000000004, 
    0.91000000000000003, 1.3200000000000001, 1.9099999999999999, 
    1.78, 0.95999999999999996, 1.3999999999999999, 2.46, NA, 
    1.0600000000000001, 1.01, 0.71999999999999997, 1.6000000000000001, 
    0.93000000000000005, 1.1399999999999999, 1.1399999999999999, 
    1.22, 1.24, 1.6000000000000001, NA, 1.03, 0.65000000000000002, 
    1.3700000000000001, 1.0600000000000001, 1.8600000000000001, 
    2.4300000000000002, 1.8600000000000001, 1.0900000000000001, 
    1.8100000000000001, 1.1899999999999999, 1.6599999999999999, 
    1.1399999999999999, 1.3999999999999999, 1.71, 1.73, 0.97999999999999998, 
    1.53, 1.03, 0.91000000000000003, 2.1699999999999999, 0.97999999999999998, 
    2.5099999999999998, 1.3200000000000001, 0.75, 1.22, 1.03, 
    1.8600000000000001, 1.5, 1.5, 0.91000000000000003, 1.22, 
    1.8100000000000001, 0.88, 1.0900000000000001, 1.3400000000000001, 
    0.84999999999999998, 0.88, 1.1599999999999999, 1.3400000000000001, 
    NA, NA, 1.47, 1.3200000000000001, 1.3200000000000001, 1.9399999999999999, 
    1.0600000000000001, NA, 1.0600000000000001, 1.99, 1.97, 1.47, 
    1.1599999999999999, NA, 1.1599999999999999, 1.22, NA, 1.27, 
    1.1899999999999999, 2.5600000000000001, 1.47, 0.93000000000000005, 
    1.3200000000000001, 0.84999999999999998, 1.3999999999999999, 
    1.3999999999999999, 1.24, 1.1100000000000001, 0.93000000000000005, 
    1.27, 1.1100000000000001, 1.6799999999999999, 1.0600000000000001, 
    1.8600000000000001, 1.01, 1.03, 0.69999999999999996, 1.1599999999999999, 
    1.3400000000000001, 1.0900000000000001, 1.47, 1.27, 1.6000000000000001, 
    1.78, 1.22, 1.1399999999999999, 1.9099999999999999, 1.1100000000000001, 
    1.6799999999999999, 1.5800000000000001, 1.1100000000000001, 
    1.78, 1.5800000000000001, 1.45, 2.3999999999999999, 1.24, 
    0.91000000000000003, 1.6000000000000001, 1.27, NA, 1.6000000000000001, 
    1.3700000000000001, 1.3999999999999999, 1.29, 2.1200000000000001, 
    1.4199999999999999, NA, 1.29, 1.4199999999999999, 1.97, NA, 
    1.8899999999999999, NA, 1.27, 0.88, 1.4199999999999999, 1.76, 
    1.3700000000000001, 2.1200000000000001, 1.22, 1.01, 1.29, 
    1.71, 1.47, NA, 1.47, 1.01), TotChol = c(5.0700000000000003, 
    3.7000000000000002, 6.0300000000000002, 4.5499999999999998, 
    5.9199999999999999, NA, 3.21, 5.0199999999999996, 6.1500000000000004, 
    5.0199999999999996, 7.4699999999999998, 4.5800000000000001, 
    6.9299999999999997, 5.3300000000000001, 5.4000000000000004, 
    5.5599999999999996, 4.6299999999999999, 5.5899999999999999, 
    5.0899999999999999, 4.1900000000000004, 3.4700000000000002, 
    6.4699999999999998, 2.9500000000000002, 3.8999999999999999, 
    3.2599999999999998, 4.2199999999999998, 3.54, 4.2699999999999996, 
    5.3499999999999996, 6.1500000000000004, 4.9100000000000001, 
    4.6799999999999997, 4.29, 6.3600000000000003, 4.2400000000000002, 
    4.6799999999999997, 5.4299999999999997, 5.46, 4.9900000000000002, 
    5.9199999999999999, 5.4299999999999997, 5.6600000000000001, 
    4.8899999999999997, 4.3200000000000003, 3.98, 4.3700000000000001, 
    3.1499999999999999, 4.6500000000000004, 6.3600000000000003, 
    5.04, 8.7899999999999991, 5.8399999999999999, 3.52, 5.1699999999999999, 
    4.8399999999999999, 3.7000000000000002, 5.2000000000000002, 
    7.4699999999999998, 5.3799999999999999, 6.9299999999999997, 
    4.7300000000000004, 4.2199999999999998, 5.4800000000000004, 
    NA, 4.8600000000000003, 3.4900000000000002, 3.9300000000000002, 
    4.7300000000000004, 3.98, 3.3399999999999999, 6.2599999999999998, 
    3.7999999999999998, 5.2800000000000002, 4.6799999999999997, 
    5.9199999999999999, NA, 6.0499999999999998, 3.9300000000000002, 
    5.4800000000000004, 6.0800000000000001, 4.4199999999999999, 
    3.98, 3.6200000000000001, 6.1500000000000004, 4.8399999999999999, 
    4.1600000000000001, 4.2400000000000002, 4.1100000000000003, 
    4.4699999999999998, 7.0099999999999998, 7.1100000000000003, 
    6.9800000000000004, 5.2800000000000002, 5.9500000000000002, 
    5.7199999999999998, 6.3899999999999997, 5.5099999999999998, 
    4.9400000000000004, 5.46, 4.1600000000000001, 4.8399999999999999, 
    4.8899999999999997, 4.8600000000000003, 4.7800000000000002, 
    5.0199999999999996, 4.6500000000000004, 6.0999999999999996, 
    3.1800000000000002, 5.5599999999999996, 5.5599999999999996, 
    3.5699999999999998, 5.1699999999999999, 3.5699999999999998, 
    6.2599999999999998, 6.3099999999999996, 5.6600000000000001, 
    5.3499999999999996, 5.6900000000000004, 5.2999999999999998, 
    3.5899999999999999, 3.8999999999999999, 6.1799999999999997, 
    5.6399999999999997, 4.4199999999999999, 5.0199999999999996, 
    5.1500000000000004, 4.8399999999999999, 6.0300000000000002, 
    6.21, 6.3399999999999999, 5.2000000000000002, 5.9000000000000004, 
    4.1100000000000003, 3.6200000000000001, 5.7400000000000002, 
    5.6600000000000001, 5.6399999999999997, 5.79, 2.3999999999999999, 
    5.2199999999999998, 4.8600000000000003, 3.4900000000000002, 
    4.0300000000000002, 4.9100000000000001, 4.1100000000000003, 
    4.9100000000000001, 5.7400000000000002, 4.8099999999999996, 
    4.8600000000000003, 4.4699999999999998, 5.25, 4.9900000000000002, 
    4.9900000000000002, 4.9400000000000004, 4.8600000000000003, 
    4.1600000000000001, 5.2800000000000002, 4.6299999999999999, 
    3.52, 5.9199999999999999, 4.7800000000000002, 4.0599999999999996, 
    4.71, 6.8799999999999999, 5.3799999999999999, 4.1900000000000004, 
    6.1500000000000004, 5.3499999999999996, 4.9400000000000004, 
    4.9699999999999998, 4.8899999999999997, 3.2799999999999998, 
    5.8200000000000003, 4.29, 8.5899999999999999, 8.6099999999999994, 
    4.7800000000000002, 5.5899999999999999, 4.71, 6.3899999999999997, 
    5.7699999999999996, 4.7800000000000002, 5.0899999999999999, 
    NA, 3.98, 5.5300000000000002, 4.9100000000000001, 5.4299999999999997, 
    5.7699999999999996, 3.5699999999999998, 3.6499999999999999, 
    5.9500000000000002, 4.6799999999999997, 4.4500000000000002, 
    5.0199999999999996, 4.2400000000000002, 6.54, 5.79, 5.6399999999999997, 
    4.4000000000000004, 5.2199999999999998, 4.8600000000000003, 
    3.6499999999999999, 3.7799999999999998, 5.9199999999999999, 
    3.8500000000000001, 4.7300000000000004, NA, NA, 4.29, 4.5800000000000001, 
    NA, 4.0599999999999996, 4.8399999999999999, 4.1100000000000003, 
    5.5599999999999996, 4.29, 5.2800000000000002, 5.1200000000000001, 
    5.3799999999999999, 5.2000000000000002, 5.2000000000000002, 
    4.8600000000000003, 5.9199999999999999, NA, 5.3499999999999996, 
    4.4000000000000004, 7.3700000000000001, 3.98, 5.1200000000000001, 
    3.52, 3.6499999999999999, 3.6499999999999999, 3.75, 6.54, 
    4.8099999999999996, 4.8099999999999996, 4.8399999999999999, 
    5.0199999999999996, 5.9500000000000002, 4.9100000000000001, 
    4.3200000000000003, 4.4699999999999998, 3.8799999999999999, 
    4.8399999999999999, 4.9900000000000002, 5.04, 4.2400000000000002, 
    8.1999999999999993, 5.25, 5.1699999999999999, 4.9699999999999998, 
    4.8399999999999999, 6.1799999999999997, 4.2400000000000002, 
    4.0099999999999998, 3.8999999999999999, 7.1100000000000003, 
    4.1100000000000003, 5.6900000000000004, 5.4299999999999997, 
    4.7599999999999998, 4.3399999999999999, 5.6100000000000003, 
    4.9900000000000002, 2.79, 5.4299999999999997, 4.4000000000000004, 
    7.1600000000000001, 4.0899999999999999, 7.1900000000000004, 
    NA, 4.8099999999999996, 5.1200000000000001, 4.3700000000000001, 
    6.2800000000000002, 4.3399999999999999, 6.2800000000000002, 
    8.0199999999999996, 4.5999999999999996, 4.4699999999999998, 
    6.21, 4.4500000000000002, 4.4199999999999999, 4.1900000000000004, 
    5.5599999999999996, 5.7199999999999998, 6.2599999999999998, 
    4.5999999999999996, 4.9400000000000004, 4.71, 3.6200000000000001, 
    6.2800000000000002, 4.9900000000000002, 6.0999999999999996, 
    5.79, 3.7200000000000002, 4.8399999999999999, 4.6799999999999997, 
    5.6900000000000004, 6.1799999999999997, 4.8399999999999999, 
    3.6699999999999999, 6.0300000000000002, 4.5999999999999996, 
    7.8600000000000003, 7.0099999999999998, 5.7699999999999996, 
    5.4299999999999997, 4.8099999999999996, 6.7199999999999998, 
    6.4400000000000004, NA, 4.7800000000000002, 5.5099999999999998, 
    5.8200000000000003, 7.1100000000000003, 4.9400000000000004, 
    6.4400000000000004, 4.7300000000000004, 4.3399999999999999, 
    NA, 4.0899999999999999, 6.4900000000000002, NA, 6.1799999999999997, 
    4.8899999999999997, 5.8399999999999999, 5.5899999999999999, 
    4.1600000000000001, 7.0599999999999996, 4.9100000000000001, 
    6.2599999999999998, 4.5800000000000001, 5.2999999999999998, 
    5.04, 6.9299999999999997, NA, 4.9400000000000004, 5.79, 4.1600000000000001, 
    4.8399999999999999, 6.3099999999999996, 4.0099999999999998, 
    5.1699999999999999, 4.3700000000000001, 5.1500000000000004, 
    5.79, 4.9900000000000002, 4.3700000000000001, 4.2199999999999998, 
    NA, NA, 4.6500000000000004, 4.9900000000000002, 8.0199999999999996, 
    4.8600000000000003, 5.5599999999999996, 5.46, 4.2400000000000002, 
    6.5199999999999996, 6.0499999999999998, NA, 5.04, 6.7999999999999998, 
    3.2599999999999998, 6.2300000000000004, 5.04, 5.4000000000000004, 
    4.0899999999999999, 4.4199999999999999, 5.2999999999999998, 
    3.98, NA, 7.21, 4.8099999999999996, 6.6200000000000001, 6.1299999999999999, 
    3.6200000000000001, 6.0300000000000002, 4.0899999999999999, 
    4.7300000000000004, 5.2999999999999998, 5.5300000000000002, 
    6.7800000000000002, 6.5199999999999996, 5.1699999999999999, 
    4.3399999999999999, 5.6900000000000004, 5.0199999999999996, 
    3.7999999999999998, 6.1299999999999999, 5.8200000000000003, 
    6.7000000000000002, 5.5099999999999998, 4.6299999999999999, 
    4.9100000000000001, 3.98, 4.4199999999999999, 5.2000000000000002, 
    5.2000000000000002, 6.0999999999999996, 4.2699999999999996, 
    3.3900000000000001, 5.4000000000000004, 4.8099999999999996, 
    5.1200000000000001, 3.2799999999999998, 3.6200000000000001, 
    4.4000000000000004, 6.5700000000000003, 4.3399999999999999, 
    5.4000000000000004, NA, NA, 7.0899999999999999, 4.5999999999999996, 
    5.04, 5.6600000000000001, 2.9700000000000002, NA, 7.29, 4.5300000000000002, 
    6.3399999999999999, 5.1200000000000001, 6.75, NA, 3.1000000000000001, 
    4.4000000000000004, NA, 8.7699999999999996, 4.9900000000000002, 
    5.04, 7.0300000000000002, 4.2199999999999998, 4.7599999999999998, 
    3.4900000000000002, 6.7800000000000002, 5.8399999999999999, 
    5.5300000000000002, 5.25, 4.5, 5.6900000000000004, 4.0899999999999999, 
    5.79, 6.0999999999999996, 4.0899999999999999, 7.2400000000000002, 
    8.1199999999999992, 4.0899999999999999, 4.0599999999999996, 
    4.1100000000000003, 6.5899999999999999, 5.5099999999999998, 
    4.1900000000000004, 9.3100000000000005, 3.6699999999999999, 
    4.5999999999999996, 5.4000000000000004, 5.7400000000000002, 
    3.5899999999999999, 4.7599999999999998, 5.7199999999999998, 
    6.1799999999999997, 5.7199999999999998, 4.71, 5.3499999999999996, 
    5.4800000000000004, 7.71, 4.9900000000000002, 6.2800000000000002, 
    5.4000000000000004, NA, 5.46, 4.29, 5.25, 4.0099999999999998, 
    5.79, 5.46, NA, 6.0300000000000002, 4.1900000000000004, 4.7800000000000002, 
    NA, 3.5899999999999999, NA, 4.8399999999999999, 4.1600000000000001, 
    4.9699999999999998, 7.1900000000000004, 3.96, 6.2800000000000002, 
    5.0899999999999999, 5.79, 5.6600000000000001, 6.2300000000000004, 
    5.3799999999999999, NA, 4.7800000000000002, 3.7999999999999998
    ), UrineVol1 = c(244L, 65L, 105L, 51L, 30L, NA, 39L, 120L, 
    81L, 47L, 221L, 68L, 37L, 329L, NA, 149L, 48L, 196L, 143L, 
    213L, 54L, 49L, 174L, 283L, 137L, 21L, 14L, 147L, 230L, 103L, 
    114L, 114L, 40L, 66L, 237L, 61L, 256L, 9L, 4L, 25L, 35L, 
    121L, 72L, 55L, 404L, 212L, 108L, 60L, 59L, 65L, 155L, 9L, 
    77L, 261L, 55L, 407L, 110L, 92L, 78L, 67L, 49L, 22L, 80L, 
    69L, 44L, 106L, 39L, 127L, 52L, 193L, 145L, 314L, 81L, 78L, 
    25L, NA, 140L, 254L, 32L, 33L, 40L, NA, 12L, 201L, 186L, 
    80L, 76L, 317L, 36L, 277L, 12L, 181L, 60L, 122L, 138L, 68L, 
    60L, 43L, 55L, 138L, 175L, 185L, 245L, 355L, 65L, 55L, 114L, 
    29L, 74L, 45L, 22L, 57L, 34L, 107L, 342L, 130L, 36L, 317L, 
    81L, 118L, 422L, 81L, 14L, 18L, 121L, 43L, 115L, 31L, 160L, 
    95L, 137L, 46L, 284L, 38L, 69L, 45L, 135L, 155L, NA, 119L, 
    43L, 73L, 106L, 30L, 120L, 85L, 182L, 208L, 46L, NA, 60L, 
    17L, 101L, 28L, 163L, 37L, 161L, 61L, 33L, 373L, 239L, 270L, 
    258L, 197L, 232L, 250L, 81L, 41L, 355L, 62L, 38L, 214L, 119L, 
    249L, 126L, 56L, 30L, 82L, 146L, 21L, 67L, 397L, 95L, 62L, 
    153L, 289L, 81L, 34L, 40L, 34L, 66L, 206L, 30L, 60L, 54L, 
    170L, 130L, 135L, 133L, 92L, 50L, 37L, 122L, 138L, 170L, 
    189L, 106L, 31L, 21L, 40L, 411L, 58L, 289L, 138L, 284L, 131L, 
    136L, 304L, 81L, 53L, 59L, 80L, 163L, 98L, 48L, 196L, 116L, 
    387L, 17L, 194L, 50L, 29L, 294L, 270L, 53L, 24L, 144L, 338L, 
    54L, 43L, 71L, 87L, 291L, 220L, 166L, 181L, 164L, 46L, 57L, 
    213L, 297L, 108L, 68L, 84L, 145L, 42L, 105L, 85L, 147L, 136L, 
    59L, NA, 84L, 42L, 51L, 324L, 66L, 140L, 166L, 96L, 215L, 
    51L, 113L, 146L, 149L, 117L, 54L, 88L, 331L, 204L, 11L, 273L, 
    40L, 307L, 192L, 93L, 14L, 111L, 6L, 118L, 56L, 38L, 78L, 
    99L, 11L, 71L, 300L, 42L, 131L, 68L, 107L, 292L, 27L, 102L, 
    85L, 22L, 123L, 28L, 192L, 197L, 171L, 94L, NA, 25L, 141L, 
    119L, 85L, 130L, 52L, 70L, 92L, NA, 31L, 230L, 56L, 299L, 
    21L, 62L, 94L, 41L, 138L, 90L, 406L, 56L, 58L, 236L, 68L, 
    106L, 323L, 142L, 39L, 42L, 272L, 198L, 101L, 108L, 85L, 
    31L, 166L, 58L, 142L, 9L, 25L, 140L, 187L, 66L, 44L, 64L, 
    107L, 275L, 17L, 61L, 112L, 320L, 339L, 112L, 16L, 182L, 
    10L, 70L, 433L, 300L, 23L, 114L, 143L, 71L, 412L, 35L, 188L, 
    92L, 69L, 216L, 302L, 337L, 28L, 291L, 247L, 92L, 69L, 446L, 
    232L, 69L, 377L, 12L, 122L, 192L, 62L, 236L, 142L, 116L, 
    37L, 32L, 112L, 202L, 43L, 208L, 52L, 47L, 84L, 95L, 100L, 
    42L, 32L, 185L, NA, 130L, 136L, 61L, 15L, 41L, 0L, 171L, 
    87L, 161L, 78L, 130L, 69L, 16L, 295L, NA, 298L, 14L, 90L, 
    119L, 139L, 171L, 157L, 178L, 64L, 206L, 146L, 76L, 68L, 
    69L, 11L, 126L, 115L, 13L, 74L, 39L, 106L, 152L, 46L, 209L, 
    31L, 112L, 111L, 64L, 161L, 11L, 71L, 96L, 132L, 16L, 401L, 
    245L, 92L, 24L, 102L, 44L, 46L, 164L, 174L, 15L, 102L, 159L, 
    42L, 235L, 72L, 94L, 179L, 192L, 117L, 31L, 25L, 115L, 106L, 
    212L, 42L, 83L, 116L, 106L, 382L, 38L, 141L, 241L, 144L, 
    222L, 46L, 170L), UrineFlow1 = c(1.6830000000000001, 0.442, 
    0.68200000000000005, 0.46400000000000002, 1.304, NA, 0.38600000000000001, 
    1.8180000000000001, 0.39500000000000002, NA, 1.613, 1.333, 
    0.82199999999999995, 1.0349999999999999, NA, 1.2110000000000001, 
    0.41399999999999998, 1.0049999999999999, 0.61599999999999999, 
    0.52000000000000002, NA, 0.74199999999999999, 1.45, 0.76300000000000001, 
    0.53700000000000003, 0.16700000000000001, 0.192, 2.5339999999999998, 
    1.1679999999999999, NA, 0.373, 0.71299999999999997, 0.56299999999999994, 
    0.36099999999999999, 1.331, 0.64900000000000002, 0.85899999999999999, 
    0.11, 0.17399999999999999, 0.152, 0.33700000000000002, 1.635, 
    1.5, 0.40999999999999998, 0.73499999999999999, 1.6830000000000001, 
    0.69699999999999995, 1.1539999999999999, 0.75600000000000001, 
    0.44800000000000001, 2.7189999999999999, 0.26500000000000001, 
    0.65800000000000003, 1.825, NA, 3.282, 0.39300000000000002, 
    NA, 0.52300000000000002, 0.309, 0.79000000000000004, 0.20000000000000001, 
    1.569, 0.66300000000000003, 0.65700000000000003, 0.42099999999999999, 
    NA, NA, 0.39100000000000001, 1.9690000000000001, 1.0429999999999999, 
    1.208, 0.88, NA, 0.152, NA, 0.76100000000000001, 1.004, 0.80000000000000004, 
    0.40699999999999997, 0.109, NA, 0.29299999999999998, 0.65700000000000003, 
    1.0509999999999999, NA, 0.57999999999999996, NA, 0.31900000000000001, 
    2.1150000000000002, 0.28599999999999998, 0.748, 0.81100000000000005, 
    1.2450000000000001, 0.746, 2.194, 1.304, 0.63200000000000001, 
    0.40699999999999997, 1.9710000000000001, 1.1220000000000001, 
    NA, 0.92100000000000004, 2.0640000000000001, 0.52800000000000002, 
    0.313, 1.583, 0.14099999999999999, 0.503, 0.58399999999999996, 
    0.124, 0.71299999999999997, 0.22500000000000001, 2.3780000000000001, 
    6.7060000000000004, 0.54400000000000004, 0.20599999999999999, 
    1.8320000000000001, 1.038, 0.51800000000000002, 4.851, NA, 
    0.46700000000000003, 0.062, 0.83999999999999997, 0.50600000000000001, 
    0.91300000000000003, 0.43099999999999999, 2.133, 0.60099999999999998, 
    1.5049999999999999, NA, NA, 0.50700000000000001, 0.54300000000000004, 
    0.63400000000000001, 1.7310000000000001, 0.58299999999999996, 
    NA, 1.3520000000000001, 0.30299999999999999, 0.21299999999999999, 
    1.3089999999999999, 0.221, 0.57399999999999995, 0.84999999999999998, 
    1.3380000000000001, 1.3420000000000001, 0.754, NA, 0.61899999999999999, 
    0.70799999999999996, 0.871, 0.20100000000000001, 1.6299999999999999, 
    0.36599999999999999, 0.98199999999999998, 0.28499999999999998, 
    0.26600000000000001, 2.234, 3.734, 1.042, 1.284, 2.2130000000000001, 
    3.4630000000000001, NA, NA, 0.34200000000000003, 1.972, 0.504, 
    1, 1.6850000000000001, 1.5449999999999999, 1.7909999999999999, 
    1.167, 0.34999999999999998, 0.29699999999999999, 0.38500000000000001, 
    0.40000000000000002, 0.48799999999999999, 0.97099999999999997, 
    2.335, 1.0109999999999999, 0.29199999999999998, 0.79300000000000004, 
    4.6609999999999996, 0.20599999999999999, 0.436, 0.61499999999999999, 
    0.22500000000000001, 0.36699999999999999, 1.046, 0.224, 0.5, 
    0.50900000000000001, 4.048, 0.74299999999999999, 1.0800000000000001, 
    1.5469999999999999, 0.40899999999999997, 0.48499999999999999, 
    0.5, NA, 0.93200000000000005, 4.7220000000000004, 0.374, 
    0.47299999999999998, 0.378, 0.38200000000000001, 0.56299999999999994, 
    7.2110000000000003, 0.32800000000000001, 0.95099999999999996, 
    0.41599999999999998, NA, 0.53000000000000003, 1.071, 0.94099999999999995, 
    NA, 0.084000000000000005, 1.113, 0.63500000000000001, 1.6299999999999999, 
    1.3999999999999999, 0.52700000000000002, 3.2669999999999999, 
    0.249, 1.512, 0.14199999999999999, 1.1619999999999999, 0.67600000000000005, 
    0.19700000000000001, 1.2350000000000001, 1.9419999999999999, 
    0.32700000000000001, 0.28199999999999997, 1.171, 2.6829999999999998, 
    0.21299999999999999, 0.68300000000000005, 0.55000000000000004, 
    0.68000000000000005, 1.0029999999999999, 0.85299999999999998, 
    2.4409999999999998, 1.905, 1.006, NA, 0.40400000000000003, 
    1.0600000000000001, 2.1520000000000001, 0.628, 0.42799999999999999, 
    0.89400000000000002, 1.343, 0.42399999999999999, 0.59699999999999998, 
    0.14699999999999999, 0.63600000000000001, 1.0629999999999999, 
    0.64800000000000002, NA, 0.378, 0.45200000000000001, NA, 
    1.831, 0.94299999999999995, 0.753, 0.68000000000000005, 0.55500000000000005, 
    1.044, NA, 0.54900000000000004, 1.431, 1.1830000000000001, 
    1.093, 0.27300000000000002, 0.63800000000000001, 0.745, 0.65400000000000003, 
    0.109, 1.1140000000000001, 0.33100000000000002, 1.258, 0.68100000000000005, 
    0.96899999999999997, 0.055, 2.0179999999999998, 0.063, 2.5649999999999999, 
    0.441, 0.50700000000000001, 0.088999999999999996, 1.0760000000000001, 
    0.13900000000000001, 0.45800000000000002, 3.093, 0.313, 0.63300000000000001, 
    0.35399999999999998, 0.80500000000000005, 1.3839999999999999, 
    0.186, 1.0409999999999999, 0.55200000000000005, 0.32800000000000001, 
    0.54900000000000004, 0.22600000000000001, 2.5950000000000002, 
    0.83099999999999996, 2.4780000000000002, 0.93999999999999995, 
    NA, 0.625, 0.83399999999999996, 1.5449999999999999, 0.14699999999999999, 
    1.1930000000000001, 1.0609999999999999, 0.41399999999999998, 
    0.622, NA, 0.24199999999999999, 0.86099999999999999, 0.26900000000000002, 
    3.181, 0.313, 0.28699999999999998, 0.21199999999999999, NA, 
    1.792, 0.63400000000000001, 3.1230000000000002, 0.16500000000000001, 
    0.33100000000000002, 0.80000000000000004, 0.69399999999999995, 
    0.93799999999999994, 2.3580000000000001, 0.42399999999999999, 
    0.88600000000000001, 0.313, 1.8260000000000001, 0.79500000000000004, 
    0.45100000000000001, NA, 0.95499999999999996, 0.437, 0.92200000000000004, 
    0.33700000000000002, 0.39400000000000002, 0.17599999999999999, 
    0.35199999999999998, 0.375, 0.32700000000000001, 0.504, 1.1579999999999999, 
    1.6839999999999999, 1.0389999999999999, 1.087, 0.14000000000000001, 
    0.45200000000000001, 0.73699999999999999, NA, 4.1849999999999996, 
    0.77800000000000002, 0.14399999999999999, 2.2749999999999999, 
    0.092999999999999999, 0.46400000000000002, 4.0090000000000003, 
    1.948, 0.47899999999999998, 0.86399999999999999, 4.0860000000000003, 
    0.51400000000000001, 1.373, 0.21199999999999999, 0.65300000000000002, 
    1.2270000000000001, 0.55600000000000005, 1.9119999999999999, 
    1.024, 1.5529999999999999, 0.315, 2.6699999999999999, 1.6359999999999999, 
    0.622, 0.85199999999999998, 3.9470000000000001, 1.5469999999999999, 
    1, 2.3860000000000001, 0.14000000000000001, 0.66700000000000004, 
    1.0049999999999999, 0.48099999999999998, 1.8580000000000001, 
    0.94699999999999995, 1.4870000000000001, 0.20699999999999999, 
    0.86499999999999999, 0.43099999999999999, 1.726, 0.45300000000000001, 
    0.73499999999999999, 0.52500000000000002, 0.30499999999999999, 
    0.72999999999999998, 0.28999999999999998, NA, 0.57499999999999996, 
    0.71099999999999997, 0.877, NA, 3.4209999999999998, 1.0069999999999999, 
    0.68500000000000005, 0.13200000000000001, NA, NA, 0.75700000000000001, 
    0.39700000000000002, 1.988, 1.054, 1.032, 0.60499999999999998, 
    0.19, 4.2140000000000004, NA, 1.3300000000000001, 0.26400000000000001, 
    0.497, NA, 0.57899999999999996, 1.2210000000000001, 1.847, 
    0.745, 0.96999999999999997, 1.3380000000000001, 1.2270000000000001, 
    0.71699999999999997, 0.42999999999999999, 0.93200000000000005, 
    0.23400000000000001, 3.2309999999999999, 1.337, 0.074999999999999997, 
    0.627, 0.45300000000000001, 0.67900000000000005, 1.3819999999999999, 
    0.249, 1.0940000000000001, 0.22600000000000001, 0.70399999999999996, 
    0.64900000000000002, 0.30599999999999999, 0.66300000000000003, 
    0.25600000000000001, 1, 1.6839999999999999, 0.27300000000000002, 
    0.27600000000000002, 5.0759999999999996, 1.738, 0.53500000000000003, 
    0.40000000000000002, 0.73899999999999999, 0.91700000000000004, 
    2.706, 0.624, 1, 0.224, 2.8330000000000002, 1.325, 0.42399999999999999, 
    2.6699999999999999, 1.4399999999999999, 0.39000000000000001, 
    4.5899999999999999, 0.68100000000000005, 0.80700000000000005, 
    0.252, 0.221, 0.68500000000000005, 0.53800000000000003, 1.1839999999999999, 
    0.82399999999999995, 0.93300000000000005, 0.312, 0.58599999999999997, 
    5.7009999999999996, 0.57599999999999996, 0.96599999999999997, 
    1.242, 0.67900000000000005, 0.93300000000000005, 0.42999999999999999, 
    1.504), UrineVol2 = c(NA, NA, NA, NA, 114L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 94L, 149L, NA, NA, NA, NA, NA, 216L, NA, NA, NA, NA, 
    52L, 52L, 45L, 116L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 63L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 53L, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 45L, NA, NA, NA, 
    215L, 57L, NA, NA, 82L, NA, NA, NA, NA, NA, NA, NA, 22L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 179L, NA, NA, 278L, 87L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 188L, 396L, NA, NA, NA, NA, NA, NA, NA, 187L, 
    NA, NA, NA, 96L, NA, NA, NA, NA, NA, NA, NA, 49L, NA, NA, 
    NA, NA, 374L, NA, NA, 80L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 102L, NA, NA, NA, NA, NA, NA, NA, 99L, NA, 
    NA, NA, NA, 79L, NA, NA, NA, NA, NA, NA, NA, NA, 270L, NA, 
    NA, NA, NA, NA, 29L, 151L, 216L, NA, 66L, NA, NA, NA, NA, 
    NA, NA, NA, 120L, NA, NA, NA, NA, 125L, NA, NA, NA, 92L, 
    NA, NA, 257L, NA, NA, NA, 33L, NA, NA, NA, 84L, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 162L, NA, NA, NA, NA, NA, 104L, 
    NA, 132L, NA, NA, NA, NA, NA, 11L, NA, NA, 276L, NA, NA, 
    NA, NA, 64L, NA, NA, 21L, NA, 48L, NA, NA, NA, NA, NA, 282L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 76L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 20L, 276L, 
    NA, NA, NA, NA, NA, 32L, NA, NA, NA, 37L, 226L, NA, NA, NA, 
    NA, NA, NA, NA, 43L, NA, NA, NA, NA, NA, 39L, NA, 52L, NA, 
    NA, NA, 123L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 22L, NA, NA, NA, NA, 
    NA, NA, NA, 122L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 119L, 
    105L, NA, NA, NA, NA, NA, 400L, NA, NA, NA, NA, NA, NA, NA, 
    NA, 210L, NA, NA, NA, 384L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 145L, NA, NA, 29L, NA, NA, NA, NA, NA, NA, 
    145L, NA, NA, NA, NA, 101L, NA, NA, NA, 28L, NA, NA, NA, 
    188L, NA, 335L, NA, NA, NA, 158L, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 59L, NA, NA, NA, NA, NA, NA, NA, NA, 110L, 
    NA, NA, NA, NA, NA, NA), UrineFlow2 = c(NA, NA, NA, NA, 1.1180000000000001, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 0.61399999999999999, 0.89800000000000002, 
    NA, NA, NA, NA, NA, 1.149, NA, NA, NA, NA, 0.433, 0.495, 
    0.26200000000000001, 1.2470000000000001, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 0.42299999999999999, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 0.48199999999999998, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.26200000000000001, 
    NA, NA, NA, 2.048, 0.32800000000000001, NA, NA, 0.80400000000000005, 
    NA, NA, NA, NA, NA, NA, NA, 0.36099999999999999, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.90900000000000003, 
    NA, NA, 2.8959999999999999, 0.93500000000000005, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 1.694, 3.8820000000000001, 
    NA, NA, NA, NA, NA, NA, NA, 1.2549999999999999, NA, NA, NA, 
    0.95999999999999996, NA, NA, NA, NA, NA, NA, NA, 0.55700000000000005, 
    NA, NA, NA, NA, 2.2130000000000001, NA, NA, 0.93000000000000005, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.79700000000000004, 
    NA, NA, NA, NA, NA, NA, NA, 0.67300000000000004, NA, NA, 
    NA, NA, 0.745, NA, NA, NA, NA, NA, NA, NA, NA, 1.617, NA, 
    NA, NA, NA, NA, 0.47499999999999998, 0.81599999999999995, 
    1.149, NA, 0.61699999999999999, NA, NA, NA, NA, NA, NA, NA, 
    0.73599999999999999, NA, NA, NA, NA, 1.0589999999999999, 
    NA, NA, NA, 0.76000000000000001, NA, NA, 3.3380000000000001, 
    NA, NA, NA, 0.29999999999999999, NA, NA, NA, 0.67700000000000005, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1.1819999999999999, 
    NA, NA, NA, NA, NA, 5.4740000000000002, NA, 1.0820000000000001, 
    NA, NA, NA, NA, NA, 0.070000000000000007, NA, NA, 2.6539999999999999, 
    NA, NA, NA, NA, 0.58699999999999997, NA, NA, 0.5, NA, 0.55800000000000005, 
    NA, NA, NA, NA, NA, 2.274, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 0.57599999999999996, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 0.52600000000000002, 2.6539999999999999, 
    NA, NA, NA, NA, NA, 0.28599999999999998, NA, NA, NA, 0.50700000000000001, 
    1.899, NA, NA, NA, NA, NA, NA, NA, 0.33600000000000002, NA, 
    NA, NA, NA, NA, 0.42899999999999999, NA, 0.45200000000000001, 
    NA, NA, NA, 0.628, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.29299999999999998, 
    NA, NA, NA, NA, NA, NA, NA, 0.78200000000000003, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 1.1899999999999999, 0.88200000000000001, 
    NA, NA, NA, NA, NA, 2.3260000000000001, NA, NA, NA, NA, NA, 
    NA, NA, NA, 1.228, NA, NA, NA, 2.931, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 0.85299999999999998, NA, NA, 
    0.55800000000000005, NA, NA, NA, NA, NA, NA, 0.84799999999999998, 
    NA, NA, NA, NA, 0.68200000000000005, NA, NA, NA, 0.46700000000000003, 
    NA, NA, NA, NA, NA, 4.2949999999999999, NA, NA, NA, 1.5960000000000001, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.42099999999999999, 
    NA, NA, NA, NA, NA, NA, NA, NA, 0.97299999999999998, NA, 
    NA, NA, NA, NA, NA), Diabetes = structure(c(1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L), .Label = c("No", "Yes"), class = "factor"), DiabetesAge = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 40L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 46L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 42L, NA, 73L, NA, 50L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 54L, NA, 55L, NA, NA, 60L, NA, NA, 
    NA, NA, NA, NA, NA, 42L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 24L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 70L, NA, NA, NA, NA, NA, NA, NA, NA, 65L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 60L, NA, NA, NA, 61L, 70L, 
    NA, NA, NA, NA, NA, 40L, NA, NA, NA, 76L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 60L, NA, NA, NA, 47L, NA, NA, NA, NA, NA, 
    NA, 50L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 60L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 53L, 
    NA, NA, NA, NA, NA, NA, 60L, NA, NA, 55L, NA, NA, NA, NA, 
    NA, NA, 24L, NA, NA, NA, NA, NA, NA, NA, 40L, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 62L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 49L, NA, NA, 
    NA, NA, 60L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 55L, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 51L, NA, NA, NA, NA, NA, 42L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 80L, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 33L, NA, NA, NA, NA, 45L, NA, NA, 49L, 
    NA, NA, 71L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, 56L, NA, 53L, 32L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 58L, NA, NA, NA, 73L, NA, 
    NA, NA, NA, NA, NA, 29L, NA, NA, 61L, NA, NA, NA, 60L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 35L, NA, 
    NA, 57L, 66L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 37L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA), HealthGen = structure(c(4L, 2L, 2L, 1L, 2L, NA, 
    4L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, NA, 3L, 2L, 2L, 2L, 3L, 3L, 
    3L, 2L, 1L, 3L, 2L, 3L, 4L, 2L, 2L, NA, 2L, 2L, 2L, 4L, 2L, 
    2L, 2L, 3L, 3L, 2L, 3L, 2L, 1L, 3L, 3L, 4L, 3L, 1L, 2L, 1L, 
    5L, NA, 1L, 4L, 2L, 3L, 3L, NA, 2L, 2L, NA, NA, NA, 2L, 3L, 
    NA, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 3L, 4L, 2L, 5L, 1L, 2L, NA, 
    3L, 4L, 3L, NA, 3L, NA, NA, 3L, 2L, 2L, 5L, 3L, 2L, 2L, 4L, 
    3L, 2L, 4L, 3L, 1L, NA, 3L, 3L, 2L, 3L, 4L, 2L, 3L, 3L, 3L, 
    3L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 4L, 2L, NA, 3L, 4L, 2L, 3L, 
    3L, 2L, 4L, 3L, 2L, 3L, NA, 2L, 2L, 3L, 4L, 3L, 4L, 3L, 2L, 
    NA, 3L, 3L, 1L, 1L, 3L, 5L, 2L, 4L, 1L, 2L, 3L, 4L, 2L, 3L, 
    4L, NA, 3L, 3L, 2L, 3L, 1L, 3L, 1L, 2L, 4L, 3L, 3L, 3L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 2L, 1L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 
    3L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 4L, 1L, 3L, 2L, 3L, 
    4L, 4L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, NA, 3L, 2L, 3L, NA, 4L, 
    3L, 3L, 1L, 2L, 3L, 2L, 2L, 5L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 
    2L, 3L, 2L, 2L, 3L, 2L, 2L, 5L, 2L, 2L, 3L, 3L, 1L, 3L, 4L, 
    2L, 3L, 3L, 2L, 4L, 3L, 1L, 1L, NA, 2L, 2L, 4L, 3L, 2L, 2L, 
    3L, 3L, NA, 2L, 2L, 3L, 3L, 4L, 4L, 2L, 3L, 3L, 1L, 2L, NA, 
    2L, 3L, 3L, NA, 2L, 1L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 4L, 3L, 
    2L, 1L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 
    2L, 2L, 2L, 1L, 2L, 3L, NA, 2L, 3L, 2L, 4L, 3L, 1L, 1L, NA, 
    NA, 3L, 3L, NA, 3L, 2L, 2L, 1L, NA, 3L, 2L, 1L, 4L, 3L, 3L, 
    3L, 4L, 2L, 3L, 4L, 3L, 4L, 2L, 4L, 3L, 4L, 1L, 5L, 1L, 2L, 
    NA, 2L, 3L, 1L, 3L, 3L, 4L, 3L, 3L, 2L, 2L, 4L, 3L, 3L, 3L, 
    3L, NA, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 5L, NA, 3L, 2L, 3L, 
    4L, 3L, NA, 4L, 2L, 2L, NA, 3L, 3L, NA, 4L, 3L, NA, 4L, 1L, 
    3L, NA, 2L, 3L, 4L, 3L, 1L, 3L, NA, 3L, 3L, 3L, 2L, NA, 3L, 
    3L, 2L, NA, NA, 2L, NA, 3L, 3L, 3L, NA, 2L, 4L, 2L, NA, 3L, 
    2L, 2L, 2L, NA, 3L, NA, 2L, 4L, 2L, 1L, 3L, 1L, 2L, 3L, 3L, 
    3L, 4L, 2L, 3L, NA, 2L, 3L, 2L, 5L, 1L, 3L, 3L, 2L, 3L, 2L, 
    2L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 3L, 2L, 1L, 5L, 2L, 3L, 
    NA, 5L, 3L, 4L, 3L, 2L, 2L, 2L, 4L, 2L, 3L, 2L, 3L, 2L, 2L, 
    2L, 3L, 4L, NA, 4L, 2L, 1L, 3L, 1L, 2L, 3L, 3L, 3L, 2L), .Label = c("Excellent", 
    "Vgood", "Good", "Fair", "Poor"), class = "factor"), DaysPhysHlthBad = c(5L, 
    2L, 0L, 0L, 0L, NA, 30L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, NA, 
    0L, 0L, 0L, 0L, 30L, 3L, 0L, 0L, 0L, 7L, 0L, 0L, 3L, 0L, 
    0L, NA, 0L, 20L, 3L, 0L, 0L, 0L, 30L, 0L, 0L, 1L, 30L, 0L, 
    3L, 7L, 0L, 10L, 0L, 0L, 0L, 0L, 30L, NA, 2L, 7L, 0L, 0L, 
    4L, NA, 7L, 0L, NA, NA, NA, 0L, 1L, NA, 0L, 0L, 0L, 0L, 0L, 
    2L, 0L, 0L, 0L, 0L, 30L, 0L, 7L, NA, 9L, 0L, 0L, NA, 0L, 
    NA, NA, 0L, 0L, 0L, 20L, 2L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 
    5L, NA, 4L, 0L, 0L, 0L, 0L, 7L, 7L, 4L, 0L, 1L, 0L, 0L, 0L, 
    2L, 0L, 15L, 0L, 0L, 7L, NA, 0L, 10L, 2L, 21L, 0L, 0L, 0L, 
    3L, 0L, 0L, NA, 0L, 7L, 0L, 0L, 0L, 21L, 3L, 14L, NA, 30L, 
    0L, 0L, 5L, 5L, 30L, 0L, 0L, 0L, 4L, 0L, 21L, 0L, 0L, 0L, 
    NA, 7L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 0L, 4L, 2L, 2L, 2L, 7L, 
    2L, 0L, 0L, 0L, NA, 0L, 0L, 3L, 0L, 4L, 0L, 0L, 0L, 0L, 0L, 
    8L, 0L, 0L, 0L, 0L, 3L, 0L, 0L, 0L, 4L, 0L, 0L, 2L, 0L, 26L, 
    0L, 0L, 0L, 0L, 4L, 0L, 0L, 20L, NA, 0L, 2L, 0L, NA, 4L, 
    0L, 4L, 0L, 0L, 0L, 0L, 0L, 30L, 0L, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 5L, 0L, 0L, 30L, 0L, 2L, 5L, 0L, 0L, 
    1L, 7L, 0L, 0L, 0L, 0L, 30L, 0L, 0L, 0L, NA, 3L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, NA, 4L, 0L, 15L, 0L, 1L, 15L, 0L, 0L, 
    0L, 0L, 30L, NA, 0L, 0L, 0L, NA, 0L, 0L, 15L, 0L, 0L, 0L, 
    1L, 0L, 0L, 10L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 7L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 
    2L, 0L, 30L, 0L, 0L, NA, NA, 0L, 0L, NA, 0L, 2L, 0L, 0L, 
    NA, 0L, 0L, 0L, 0L, 0L, 0L, 5L, 30L, 0L, 0L, 9L, 0L, 30L, 
    6L, 30L, 0L, 7L, 0L, 5L, 0L, 15L, NA, 0L, 2L, 0L, 0L, 0L, 
    0L, 3L, 0L, 0L, 0L, 0L, 7L, 0L, 0L, 10L, NA, 0L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 25L, NA, 0L, 1L, 0L, 3L, 30L, NA, 0L, 
    25L, 0L, NA, 6L, 0L, NA, 0L, 0L, NA, 20L, 10L, 0L, NA, 0L, 
    0L, 3L, 0L, 0L, 0L, NA, 0L, 0L, 0L, 4L, NA, 15L, 0L, 0L, 
    NA, NA, 0L, NA, 3L, 0L, 0L, NA, 0L, 4L, 0L, NA, 2L, 14L, 
    0L, 0L, NA, 30L, NA, 0L, 1L, 0L, 7L, 30L, 0L, 0L, 0L, 0L, 
    1L, 0L, 2L, 0L, NA, 0L, 0L, 0L, 17L, 6L, 0L, 0L, 0L, 1L, 
    0L, 0L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L, 2L, 0L, 0L, 30L, 
    6L, 0L, NA, 22L, 0L, 0L, 0L, 3L, 2L, 0L, 0L, 0L, 0L, 0L, 
    0L, 6L, 5L, 0L, 3L, 0L, NA, 14L, 10L, 0L, 0L, 2L, 0L, 1L, 
    0L, 0L, 5L), DaysMentHlthBad = c(30L, 5L, 0L, 0L, 0L, NA, 
    0L, 10L, 30L, 0L, 0L, 0L, 1L, 0L, NA, 0L, 15L, 2L, 0L, 7L, 
    0L, 0L, 30L, 0L, 0L, 0L, 0L, 3L, 0L, 0L, NA, 0L, 0L, 3L, 
    15L, 0L, 30L, 0L, 10L, 3L, 5L, 0L, 5L, 0L, 0L, 30L, 0L, 0L, 
    0L, 5L, 0L, 30L, NA, 0L, 2L, 2L, 30L, 0L, NA, 0L, 0L, NA, 
    NA, NA, 0L, 0L, NA, 5L, 10L, 0L, 2L, 0L, 1L, 0L, 3L, 0L, 
    0L, 14L, 0L, 0L, NA, 0L, 0L, 30L, NA, 5L, NA, NA, 0L, 1L, 
    30L, 0L, 3L, 20L, 0L, 16L, 0L, 4L, 2L, 0L, 0L, NA, 3L, 1L, 
    20L, 0L, 30L, 5L, 7L, 2L, 7L, 8L, 0L, 0L, 0L, 0L, 0L, 30L, 
    0L, 3L, 0L, NA, 0L, 0L, 5L, 5L, 7L, 0L, 5L, 0L, 0L, 0L, NA, 
    0L, 0L, 15L, 7L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, 2L, 0L, 3L, 5L, 2L, 15L, 0L, 0L, NA, 2L, 0L, 0L, 
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 2L, 0L, 0L, 0L, 2L, 0L, 1L, 
    NA, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 10L, 10L, 1L, 0L, 
    0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 1L, 0L, 30L, 30L, 0L, 
    0L, 0L, 0L, 4L, 4L, 0L, NA, 0L, 0L, 0L, NA, 5L, 0L, 7L, 5L, 
    0L, 0L, 0L, 15L, 30L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 2L, 0L, 
    4L, 0L, 3L, 0L, 2L, 0L, 0L, 2L, 10L, 0L, 0L, 0L, 14L, 0L, 
    5L, 0L, 0L, 30L, 10L, 4L, 0L, NA, 0L, 0L, 0L, 0L, 0L, 0L, 
    30L, 14L, NA, 0L, 0L, 7L, 30L, 2L, 8L, 6L, 2L, 0L, 0L, 14L, 
    NA, 0L, 0L, 0L, NA, 3L, 0L, 2L, 0L, 2L, 0L, 0L, 0L, 1L, 0L, 
    0L, 0L, 0L, 0L, 2L, 0L, 0L, 5L, 14L, 15L, 0L, 0L, 0L, 25L, 
    0L, 30L, 10L, 0L, 0L, 0L, 0L, 0L, NA, 0L, 0L, 0L, 0L, 0L, 
    0L, 0L, NA, NA, 0L, 0L, NA, 10L, 3L, 0L, 3L, NA, 0L, 1L, 
    10L, 4L, 0L, 0L, 0L, 15L, 0L, 0L, 0L, 5L, 30L, 5L, 2L, 0L, 
    7L, 5L, 30L, 0L, 0L, NA, 7L, 30L, 0L, 10L, 15L, 2L, 0L, 0L, 
    0L, 30L, 0L, 0L, 2L, 25L, 0L, NA, 3L, 0L, 30L, 2L, 0L, 0L, 
    0L, 4L, 20L, NA, 0L, 0L, 0L, 0L, 15L, NA, 0L, 30L, 0L, NA, 
    2L, 0L, NA, 0L, 0L, NA, 15L, 22L, 30L, NA, 2L, 0L, 0L, 0L, 
    0L, 0L, NA, 10L, 0L, 0L, 7L, NA, 0L, 0L, 2L, NA, NA, 0L, 
    NA, 0L, 0L, 0L, NA, 30L, 15L, 0L, NA, 2L, 2L, 0L, 15L, NA, 
    0L, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 2L, 0L, 3L, 0L, 1L, 
    NA, 0L, 0L, 0L, 30L, 0L, 10L, 1L, 0L, 2L, 0L, 30L, 0L, 0L, 
    2L, 30L, 10L, 0L, 0L, 0L, 6L, 10L, 27L, 3L, 4L, 0L, NA, 22L, 
    8L, 0L, 0L, 0L, 0L, 3L, 0L, 0L, 2L, 0L, 30L, 0L, 3L, 1L, 
    0L, 0L, NA, 30L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 12L), LittleInterest = structure(c(3L, 
    1L, 1L, 1L, 1L, NA, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 1L, 
    1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 
    1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 3L, NA, 1L, 2L, 1L, 1L, 1L, NA, 1L, 1L, 
    NA, NA, NA, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 3L, 1L, 1L, NA, 1L, 1L, 1L, NA, 1L, NA, NA, 1L, 1L, 1L, 
    3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 
    NA, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 2L, 1L, 1L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 3L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 
    3L, 1L, 1L, NA, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, NA, 1L, 1L, 2L, NA, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, NA, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, NA, NA, 1L, 1L, NA, 2L, 1L, NA, 1L, NA, 1L, 
    1L, 3L, 1L, NA, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 2L, 
    2L, 2L, 3L, 1L, 3L, NA, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, NA, 1L, 1L, 1L, 1L, 2L, NA, 3L, 3L, 1L, NA, 2L, 1L, NA, 
    1L, 1L, NA, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, NA, 3L, 
    1L, 1L, 1L, NA, 1L, 2L, 1L, NA, NA, 1L, NA, 1L, 1L, 1L, NA, 
    3L, 2L, 1L, NA, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 3L, 1L, 3L, 2L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 2L, 1L, 1L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L), .Label = c("None", "Several", "Most"), class = "factor"), 
    Depressed = structure(c(2L, 2L, 1L, 1L, 1L, NA, 2L, 1L, 3L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, NA, 1L, 
    2L, 1L, 1L, 1L, NA, 1L, 1L, NA, NA, NA, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, NA, 1L, 1L, 1L, 
    NA, 1L, NA, NA, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 
    1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 3L, 1L, NA, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, NA, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, NA, 2L, 1L, 2L, 2L, 
    1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 
    1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 1L, 1L, 2L, 
    NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 
    1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, NA, 2L, 1L, 
    NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 3L, 1L, NA, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 3L, 3L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, NA, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, NA, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 2L, 1L, 1L, 1L, 3L, NA, 
    2L, 3L, 1L, NA, 2L, 1L, NA, 1L, 1L, NA, 1L, 1L, 2L, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 3L, 1L, 1L, 2L, NA, 1L, 2L, 1L, NA, 
    NA, 1L, NA, 1L, 1L, 1L, NA, 3L, 2L, 1L, NA, 1L, 1L, 1L, 1L, 
    NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, NA, 1L, 3L, 1L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 
    1L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 
    NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("None", 
    "Several", "Most"), class = "factor"), nPregnancies = c(NA, 
    2L, NA, NA, 3L, NA, NA, NA, NA, 1L, 6L, NA, 2L, NA, NA, NA, 
    NA, 2L, NA, NA, 5L, 5L, NA, NA, NA, NA, 2L, NA, NA, NA, NA, 
    NA, NA, NA, 2L, NA, NA, 3L, 4L, NA, NA, 1L, 3L, NA, NA, NA, 
    NA, 2L, NA, 2L, NA, 3L, NA, 1L, 4L, 2L, 1L, 5L, NA, 1L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 5L, NA, 1L, 6L, NA, 1L, 
    1L, NA, 1L, 3L, NA, 2L, 9L, 4L, NA, NA, NA, NA, 5L, NA, 3L, 
    NA, 3L, 4L, NA, NA, NA, NA, NA, 6L, NA, NA, 4L, 3L, NA, 5L, 
    1L, NA, 2L, 3L, NA, NA, NA, NA, NA, NA, 3L, NA, NA, NA, NA, 
    NA, 3L, 3L, NA, 2L, NA, 1L, 2L, NA, NA, 2L, NA, 3L, 2L, 4L, 
    7L, 2L, 2L, 2L, NA, NA, 4L, 2L, NA, NA, NA, 5L, NA, 6L, NA, 
    NA, NA, 3L, NA, NA, NA, NA, NA, NA, 4L, 2L, 4L, 2L, NA, NA, 
    NA, 4L, NA, 3L, NA, NA, NA, NA, 4L, 2L, NA, NA, NA, NA, 5L, 
    5L, NA, NA, NA, NA, 1L, NA, 2L, NA, NA, 6L, 1L, 2L, 2L, 4L, 
    5L, 1L, NA, NA, NA, 3L, 4L, NA, 3L, NA, 1L, NA, NA, NA, NA, 
    2L, NA, NA, NA, NA, NA, 2L, NA, NA, 1L, NA, NA, 1L, 1L, NA, 
    2L, 2L, NA, 2L, NA, 4L, NA, NA, NA, 2L, NA, NA, 3L, NA, 7L, 
    2L, NA, NA, 1L, 3L, 2L, 3L, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 2L, 2L, 2L, NA, NA, 3L, NA, NA, NA, NA, 2L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 4L, NA, NA, NA, NA, NA, 
    2L, 1L, NA, 3L, NA, 3L, NA, 1L, 3L, NA, 3L, 1L, NA, 3L, NA, 
    NA, 2L, 2L, NA, 1L, 6L, 3L, NA, NA, 4L, NA, NA, NA, NA, NA, 
    NA, NA, 3L, NA, NA, NA, 3L, NA, NA, NA, 2L, NA, NA, NA, 1L, 
    NA, NA, NA, 3L, NA, NA, 6L, NA, NA, 2L, 1L, NA, NA, NA, NA, 
    4L, 1L, NA, NA, NA, NA, 4L, 6L, NA, 3L, 1L, NA, 1L, NA, NA, 
    1L, NA, NA, NA, NA, 2L, NA, 2L, NA, NA, NA, NA, 4L, NA, 1L, 
    2L, NA, NA, 3L, NA, 5L, NA, NA, 3L, 2L, NA, NA, 3L, NA, NA, 
    NA, NA, NA, NA, 2L, 3L, NA, NA, 5L, 2L, NA, 1L, NA, NA, 6L, 
    NA, NA, NA, NA, NA, 4L, NA, NA, NA, NA, NA, NA, 6L, NA, NA, 
    NA, 6L, NA, NA, NA, NA, 2L, 1L, NA, NA, NA, 7L, NA, NA, NA, 
    NA, NA, 6L, 1L, NA, NA, 2L, NA, 2L, NA, 3L, NA, 3L, 6L, NA, 
    4L, NA, NA, 2L, 4L, NA, NA, NA, 1L, 4L, 3L, NA, NA, 1L, NA, 
    1L, 3L, NA, 2L, 3L, NA, 3L, 2L, 4L, 6L, NA, NA, NA, 3L, NA, 
    NA, NA, NA, 3L, NA, NA, NA, NA, NA, NA, 1L, 3L, 3L, NA, NA, 
    NA, NA, 3L, 5L), nBabies = c(NA, 2L, NA, NA, 3L, NA, NA, 
    NA, NA, 1L, 5L, NA, 2L, NA, NA, NA, NA, 2L, NA, NA, 5L, 5L, 
    NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, NA, NA, 2L, NA, NA, 
    2L, 3L, NA, NA, 1L, 3L, NA, NA, NA, NA, 1L, NA, 1L, NA, 2L, 
    NA, 1L, 2L, 2L, 1L, 5L, NA, 1L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 2L, NA, 1L, 3L, NA, 1L, NA, NA, 1L, 3L, NA, 2L, 
    7L, 2L, NA, NA, NA, NA, 2L, NA, 3L, NA, 3L, 3L, NA, NA, NA, 
    NA, NA, 2L, NA, NA, 4L, 2L, NA, 3L, 1L, NA, NA, 2L, NA, NA, 
    NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, 3L, 3L, NA, 2L, NA, 
    1L, 2L, NA, NA, 2L, NA, 3L, 2L, 4L, 4L, 1L, 1L, 1L, NA, NA, 
    3L, 2L, NA, NA, NA, 2L, NA, 4L, NA, NA, NA, 3L, NA, NA, NA, 
    NA, NA, NA, 3L, 2L, 3L, 2L, NA, NA, NA, 3L, NA, 3L, NA, NA, 
    NA, NA, 4L, 2L, NA, NA, NA, NA, 4L, 4L, NA, NA, NA, NA, 1L, 
    NA, 2L, NA, NA, 6L, 1L, 2L, 2L, 2L, 5L, 1L, NA, NA, NA, 3L, 
    1L, NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, 
    2L, NA, NA, 1L, NA, NA, 1L, 1L, NA, 2L, 2L, NA, 2L, NA, 4L, 
    NA, NA, NA, 1L, NA, NA, 3L, NA, 4L, 2L, NA, NA, 1L, NA, 2L, 
    3L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1L, 2L, 2L, 
    NA, NA, 1L, NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 3L, NA, NA, NA, NA, NA, 2L, 1L, NA, 3L, NA, 3L, 
    NA, 1L, 3L, NA, 3L, NA, NA, 1L, NA, NA, 2L, 0L, NA, 1L, 6L, 
    2L, NA, NA, 4L, NA, NA, NA, NA, NA, NA, NA, 3L, NA, NA, NA, 
    3L, NA, NA, NA, 2L, NA, NA, NA, 1L, NA, NA, NA, 3L, NA, NA, 
    6L, NA, NA, 2L, NA, NA, NA, NA, NA, 3L, 1L, NA, NA, NA, NA, 
    2L, 2L, NA, 3L, 1L, NA, 1L, NA, NA, NA, NA, NA, NA, NA, 2L, 
    NA, 2L, NA, NA, NA, NA, 4L, NA, 1L, 2L, NA, NA, 3L, NA, 5L, 
    NA, NA, 2L, 2L, NA, NA, 3L, NA, NA, NA, NA, NA, NA, 2L, 3L, 
    NA, NA, 3L, NA, NA, 1L, NA, NA, 4L, NA, NA, NA, NA, NA, 3L, 
    NA, NA, NA, NA, NA, NA, 6L, NA, NA, NA, 4L, NA, NA, NA, NA, 
    1L, 1L, NA, NA, NA, 6L, NA, NA, NA, NA, NA, 6L, NA, NA, NA, 
    2L, NA, 2L, NA, 2L, NA, 3L, 4L, NA, 3L, NA, NA, 2L, 2L, NA, 
    NA, NA, NA, 3L, 2L, NA, NA, 1L, NA, 1L, 3L, NA, 1L, 3L, NA, 
    2L, 1L, 3L, 3L, NA, NA, NA, NA, NA, NA, NA, NA, 3L, NA, NA, 
    NA, NA, NA, NA, 1L, 3L, 2L, NA, NA, NA, NA, 2L, 3L), Age1stBaby = c(NA, 
    21L, NA, NA, 27L, NA, NA, NA, NA, NA, 27L, NA, 21L, NA, NA, 
    NA, NA, 27L, NA, NA, 16L, 24L, NA, NA, NA, NA, 22L, NA, NA, 
    NA, NA, NA, NA, NA, 22L, NA, NA, 29L, 16L, NA, NA, NA, 23L, 
    NA, NA, NA, NA, NA, NA, NA, NA, 24L, NA, NA, 28L, 19L, NA, 
    23L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 30L, 
    NA, NA, 26L, NA, NA, NA, NA, NA, 24L, NA, 28L, 20L, 25L, 
    NA, NA, NA, NA, 34L, NA, 19L, NA, 20L, 18L, NA, NA, NA, NA, 
    NA, 18L, NA, NA, 18L, 24L, NA, 20L, NA, NA, NA, 26L, NA, 
    NA, NA, NA, NA, NA, 18L, NA, NA, NA, NA, NA, 21L, 20L, NA, 
    17L, NA, NA, 31L, NA, NA, 32L, NA, 28L, 22L, 17L, 16L, NA, 
    NA, NA, NA, NA, 17L, 21L, NA, NA, NA, 24L, NA, 20L, NA, NA, 
    NA, 18L, NA, NA, NA, NA, NA, NA, 29L, 20L, 23L, 26L, NA, 
    NA, NA, 22L, NA, 14L, NA, NA, NA, NA, 20L, 28L, NA, NA, NA, 
    NA, 23L, 17L, NA, NA, NA, NA, NA, NA, 25L, NA, NA, 19L, NA, 
    29L, 15L, 26L, 22L, NA, NA, NA, NA, 23L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 20L, NA, NA, NA, NA, NA, 32L, NA, NA, 
    NA, NA, NA, NA, NA, NA, 23L, 27L, NA, 34L, NA, 18L, NA, NA, 
    NA, NA, NA, NA, 19L, NA, 18L, 18L, NA, NA, NA, NA, 26L, 24L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 23L, 22L, 
    NA, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 18L, NA, NA, NA, NA, NA, 31L, NA, NA, 25L, 
    NA, 28L, NA, NA, 20L, NA, 21L, NA, NA, NA, NA, NA, 29L, NA, 
    NA, NA, 17L, 27L, NA, NA, 17L, NA, NA, NA, NA, NA, NA, NA, 
    22L, NA, NA, NA, 19L, NA, NA, NA, 26L, NA, NA, NA, NA, NA, 
    NA, NA, 19L, NA, NA, 16L, NA, NA, 24L, NA, NA, NA, NA, NA, 
    20L, NA, NA, NA, NA, NA, 28L, 18L, NA, 19L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 24L, NA, 25L, NA, NA, NA, NA, 21L, 
    NA, NA, 19L, NA, NA, 19L, NA, 20L, NA, NA, 21L, 22L, NA, 
    NA, 23L, NA, NA, NA, NA, NA, NA, 19L, 21L, NA, NA, 21L, NA, 
    NA, NA, NA, NA, 18L, NA, NA, NA, NA, NA, 16L, NA, NA, NA, 
    NA, NA, NA, 19L, NA, NA, NA, 15L, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 27L, NA, NA, NA, NA, NA, 15L, NA, NA, NA, 26L, 
    NA, 22L, NA, 18L, NA, 25L, 19L, NA, 17L, NA, NA, 21L, 30L, 
    NA, NA, NA, NA, 18L, 16L, NA, NA, NA, NA, NA, 27L, NA, NA, 
    21L, NA, 19L, NA, 18L, 18L, NA, NA, NA, NA, NA, NA, NA, NA, 
    22L, NA, NA, NA, NA, NA, NA, NA, 20L, 23L, NA, NA, NA, NA, 
    36L, 31L), SleepHrsNight = c(4L, 6L, 5L, 7L, 6L, 6L, 8L, 
    7L, 5L, 7L, 5L, 6L, 7L, 5L, 5L, 8L, 6L, 9L, 6L, 7L, 6L, 6L, 
    6L, 7L, 8L, 7L, 8L, 8L, 6L, 5L, 7L, 8L, 7L, 5L, 6L, 6L, 4L, 
    7L, 8L, 6L, 8L, 8L, 8L, 7L, 6L, 7L, 8L, 7L, 8L, 6L, 7L, 6L, 
    7L, 8L, 7L, 6L, 7L, 9L, 5L, 8L, 6L, 8L, 8L, 6L, 5L, 6L, 7L, 
    10L, 8L, 6L, 7L, 8L, 7L, 6L, 6L, 12L, 7L, 7L, 7L, 8L, NA, 
    7L, 7L, 6L, 8L, 7L, 6L, 5L, 7L, 7L, 8L, 7L, 7L, 8L, 7L, 4L, 
    7L, 8L, 5L, 7L, 7L, 10L, 9L, 6L, 6L, 4L, 8L, 7L, 7L, 7L, 
    8L, 7L, 6L, 6L, 7L, 5L, 6L, 8L, 7L, 5L, 8L, 8L, 6L, 5L, 8L, 
    6L, 8L, 7L, 6L, 7L, 7L, 8L, 8L, 9L, 8L, 6L, 5L, 7L, 5L, 8L, 
    8L, 8L, 7L, 6L, 6L, 7L, 7L, 7L, 7L, 8L, 6L, 6L, 7L, 7L, 8L, 
    7L, 6L, 5L, 8L, 6L, 5L, 4L, 7L, 7L, 7L, 7L, 8L, 6L, 8L, 6L, 
    4L, 7L, 8L, 8L, 8L, 8L, 5L, 8L, 8L, 6L, 8L, 8L, 9L, 4L, 8L, 
    8L, 9L, 7L, 7L, 6L, 9L, 6L, 8L, 9L, 8L, 8L, 6L, 6L, 8L, 7L, 
    8L, 4L, NA, 7L, 8L, 9L, 7L, 8L, 8L, 7L, 8L, 6L, 7L, 8L, 8L, 
    7L, 8L, 4L, 9L, 7L, 5L, 7L, 8L, 6L, 7L, 7L, 8L, 9L, 8L, 8L, 
    8L, 6L, 8L, 7L, 7L, 5L, 6L, 7L, 3L, 7L, 6L, 10L, 6L, 7L, 
    6L, 7L, 6L, 6L, 6L, 6L, 5L, 7L, 7L, 8L, 7L, 8L, 7L, 7L, 7L, 
    7L, 7L, 5L, 4L, 7L, 8L, 7L, 8L, 6L, 7L, 7L, 6L, 8L, 8L, 7L, 
    6L, 7L, 6L, 5L, 8L, 5L, 7L, 7L, 9L, 7L, 7L, 8L, 7L, 8L, 6L, 
    6L, 6L, 9L, 9L, 8L, 8L, 6L, 6L, 4L, 7L, 7L, 9L, 6L, 8L, 5L, 
    7L, 6L, 8L, 7L, 8L, 9L, 8L, 6L, 4L, 8L, 8L, 8L, 7L, 5L, 8L, 
    8L, 8L, 7L, 5L, 8L, 8L, 6L, 8L, 7L, 7L, 7L, 6L, 6L, 9L, 8L, 
    8L, 6L, 5L, 5L, 7L, 7L, 7L, 4L, 11L, 4L, 8L, 7L, 6L, 8L, 
    6L, 6L, 10L, 4L, 8L, 6L, 8L, 4L, 8L, 6L, 7L, 6L, 8L, 6L, 
    9L, 6L, 9L, 6L, 6L, 8L, 9L, 6L, 6L, 8L, 7L, 5L, 7L, 5L, 4L, 
    9L, 7L, 7L, 7L, 8L, 9L, 7L, 4L, 6L, 7L, 8L, 3L, 7L, 5L, 6L, 
    9L, 8L, 8L, 5L, 5L, 6L, 6L, 8L, 6L, 7L, 8L, 7L, 6L, 5L, 8L, 
    9L, 9L, 4L, 6L, 8L, 7L, 8L, 8L, 8L, 8L, 6L, 6L, 8L, 8L, 5L, 
    7L, 7L, 4L, 7L, 7L, 7L, 7L, 4L, 6L, 5L, 5L, 4L, 5L, 9L, 7L, 
    7L, 6L, 8L, 6L, 8L, 8L, 3L, 7L, 5L, 6L, 11L, 7L, 3L, 6L, 
    6L, 6L, 6L, 9L, 6L, 5L, 6L, 6L, 9L, 5L, 6L, 6L, 6L, 8L, 6L, 
    8L, 8L, 4L, 7L, 5L, 6L, 5L, 8L, 8L, 7L, 8L, 7L, 7L, 7L, 6L, 
    7L, 8L, 6L, 5L, 9L, 8L, 8L, 6L, 6L, 3L, 7L, 8L, 7L, 7L, 6L, 
    5L, 6L, 4L, 7L), SleepTrouble = structure(c(2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 
    2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
    1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 
    1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
    1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 
    1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L), .Label = c("No", "Yes"), class = "factor"), PhysActive = structure(c(1L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 
    1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 
    1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
    2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 
    1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
    1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
    1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 
    1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 
    1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 
    2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 
    2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 
    2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 
    2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 
    1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L), .Label = c("No", "Yes"), class = "factor"), 
    PhysActiveDays = c(3L, NA, 3L, NA, NA, 4L, 3L, NA, NA, NA, 
    3L, NA, NA, 1L, 3L, 3L, NA, NA, 4L, 4L, NA, NA, 6L, 5L, 7L, 
    NA, 7L, NA, 3L, 5L, NA, 5L, 6L, 6L, NA, NA, 1L, 5L, NA, NA, 
    5L, 3L, 7L, 4L, NA, NA, NA, 1L, 4L, 4L, 5L, 4L, 5L, NA, NA, 
    NA, 3L, 6L, 3L, 1L, 4L, NA, NA, 5L, NA, NA, 5L, NA, NA, 3L, 
    5L, 3L, NA, 2L, NA, NA, NA, NA, 7L, NA, NA, 3L, 5L, 6L, NA, 
    3L, NA, NA, 5L, NA, 7L, 1L, 2L, 4L, 6L, 3L, NA, 2L, NA, 5L, 
    NA, 7L, NA, 3L, NA, NA, 3L, NA, 7L, 3L, NA, 6L, 4L, NA, NA, 
    1L, NA, 4L, 3L, 4L, 7L, NA, NA, 7L, NA, NA, 5L, 2L, NA, NA, 
    NA, 3L, 7L, 7L, NA, 3L, NA, 7L, 5L, 3L, NA, NA, NA, NA, 5L, 
    NA, 5L, NA, NA, NA, NA, 7L, NA, 5L, 4L, NA, NA, NA, NA, 3L, 
    NA, 3L, NA, 1L, NA, 7L, NA, 4L, 3L, NA, 2L, NA, NA, 1L, NA, 
    7L, 7L, NA, NA, 7L, NA, NA, NA, NA, NA, NA, NA, NA, 5L, NA, 
    NA, 5L, NA, 2L, NA, 7L, 7L, 6L, 3L, NA, NA, NA, NA, 4L, NA, 
    NA, NA, 5L, NA, 6L, NA, NA, 5L, 5L, NA, NA, 2L, NA, NA, 1L, 
    7L, 3L, 4L, NA, 3L, 7L, 3L, NA, NA, 3L, 2L, NA, 3L, 2L, NA, 
    NA, 3L, NA, NA, 3L, NA, NA, 3L, NA, NA, 3L, NA, NA, NA, NA, 
    NA, 2L, 1L, 5L, 3L, NA, 5L, 7L, 5L, 3L, NA, NA, NA, NA, 5L, 
    NA, NA, NA, NA, NA, 3L, NA, NA, 3L, NA, NA, NA, 2L, NA, 2L, 
    NA, 5L, NA, 3L, 3L, NA, NA, 7L, 5L, NA, NA, 7L, NA, 7L, NA, 
    1L, 3L, 7L, 1L, 6L, 7L, NA, NA, NA, 2L, NA, 7L, 1L, NA, 5L, 
    NA, NA, NA, NA, NA, 5L, 7L, NA, NA, 3L, 1L, 2L, NA, NA, NA, 
    NA, 5L, 3L, 7L, NA, 5L, 1L, 2L, 1L, NA, 3L, NA, 3L, 4L, NA, 
    NA, NA, 7L, 4L, NA, 2L, NA, 7L, 5L, 7L, NA, NA, NA, NA, NA, 
    NA, 3L, NA, NA, NA, 5L, 3L, 3L, 2L, 1L, NA, NA, 4L, NA, 3L, 
    NA, 2L, NA, NA, 5L, 7L, 1L, 7L, 5L, NA, 1L, NA, 1L, 7L, 5L, 
    NA, 3L, NA, NA, 2L, 1L, 5L, 2L, 4L, 4L, NA, NA, 6L, 1L, 5L, 
    NA, NA, NA, 2L, NA, NA, NA, NA, NA, NA, NA, NA, 3L, 7L, 1L, 
    NA, NA, NA, NA, NA, 4L, NA, 2L, NA, NA, NA, 3L, 3L, 7L, NA, 
    NA, NA, 7L, NA, NA, 3L, 7L, 3L, 6L, NA, NA, 4L, 5L, 1L, NA, 
    NA, NA, NA, NA, NA, 6L, NA, NA, NA, 2L, 3L, 2L, NA, NA, NA, 
    2L, 2L, 3L, NA, 5L, 5L, 7L, NA, 2L, 1L, 4L, NA, NA, 2L, 2L, 
    NA, NA, NA, NA, 5L, NA, 3L, 5L, NA, 5L, 7L, NA, 2L, NA, 3L, 
    NA, NA, NA, NA, NA, NA, 1L, 3L, 5L, 5L), TVHrsDay = structure(c(4L, 
    5L, NA, 2L, 3L, NA, 6L, 4L, NA, NA, NA, 4L, NA, NA, 5L, NA, 
    4L, NA, NA, 3L, NA, NA, 5L, 1L, NA, 5L, 5L, 4L, 4L, 6L, 3L, 
    5L, NA, NA, NA, 7L, 3L, NA, NA, 6L, 4L, 2L, 4L, NA, NA, NA, 
    7L, 4L, NA, 5L, NA, 2L, 3L, 6L, 4L, NA, 3L, NA, 4L, NA, 5L, 
    3L, 2L, 6L, 6L, 3L, 3L, NA, NA, 5L, 3L, NA, NA, NA, 6L, NA, 
    4L, NA, NA, 5L, NA, 7L, 4L, NA, NA, 4L, NA, NA, NA, 2L, 5L, 
    NA, 4L, 6L, NA, NA, NA, NA, NA, 5L, 2L, 3L, NA, NA, 5L, 7L, 
    NA, NA, NA, NA, NA, 4L, 6L, 6L, NA, NA, 5L, NA, NA, 5L, NA, 
    NA, NA, 7L, NA, 5L, NA, 4L, NA, 5L, 2L, NA, 4L, NA, 3L, NA, 
    NA, NA, 7L, 4L, NA, 6L, NA, 5L, 3L, 6L, NA, NA, 4L, NA, NA, 
    6L, NA, 7L, NA, 4L, NA, 6L, NA, 6L, NA, 5L, NA, 4L, NA, 3L, 
    NA, 7L, NA, 7L, 3L, 4L, 5L, 7L, NA, NA, 5L, 7L, 2L, NA, NA, 
    5L, 6L, NA, 4L, NA, NA, NA, NA, 6L, 5L, NA, NA, NA, 5L, 4L, 
    4L, NA, 7L, NA, 7L, NA, NA, NA, 4L, 7L, 4L, 4L, 2L, NA, NA, 
    4L, 4L, 6L, 4L, 4L, 5L, NA, 2L, 2L, 5L, 3L, NA, 4L, 4L, 7L, 
    NA, NA, 5L, NA, 5L, NA, 2L, 2L, NA, 7L, NA, NA, 7L, NA, NA, 
    NA, 3L, 3L, NA, 4L, 5L, NA, NA, 7L, 6L, NA, NA, 5L, 1L, 5L, 
    NA, NA, 4L, NA, 4L, NA, NA, 3L, NA, 3L, NA, 4L, 2L, 5L, NA, 
    3L, NA, NA, NA, NA, NA, 7L, 7L, NA, 5L, NA, 4L, NA, NA, 4L, 
    NA, 2L, NA, NA, NA, NA, NA, 6L, NA, 1L, NA, 4L, NA, 6L, 5L, 
    4L, 4L, 4L, 6L, 2L, NA, NA, 5L, NA, NA, 3L, NA, 4L, NA, 5L, 
    NA, NA, 5L, 7L, 2L, NA, 6L, 4L, NA, 6L, 5L, 5L, NA, 2L, 4L, 
    NA, NA, NA, NA, NA, 5L, 7L, NA, NA, NA, 4L, NA, 5L, NA, 5L, 
    1L, NA, 3L, NA, NA, 7L, NA, NA, NA, NA, 7L, NA, 5L, NA, NA, 
    NA, 7L, 4L, NA, NA, NA, NA, 6L, NA, 3L, NA, 7L, 5L, NA, 4L, 
    NA, NA, 6L, NA, NA, 2L, NA, NA, 6L, NA, NA, 2L, NA, NA, NA, 
    5L, 3L, 4L, NA, NA, NA, NA, 5L, 4L, 3L, 5L, NA, 6L, NA, 4L, 
    5L, NA, 3L, NA, NA, NA, NA, 7L, 2L, 4L, 2L, 4L, NA, NA, NA, 
    3L, NA, 4L, NA, 4L, NA, 3L, 5L, NA, NA, 4L, 3L, NA, 4L, 5L, 
    NA, 4L, NA, 2L, 4L, NA, NA, 2L, NA, NA, 2L, NA, NA, NA, NA, 
    NA, 6L, NA, 4L, 2L, NA, NA, 3L, NA, 2L, NA, 7L, NA, 5L, NA, 
    2L, NA, 5L, 3L, 6L, NA, 2L, NA, 6L, 2L, 5L, NA, 4L, NA, 6L, 
    NA, NA, 7L, NA, NA, 4L, 4L, NA, NA, NA, NA, NA, NA, NA, NA, 
    4L, 2L, 4L, NA), .Label = c("0_hrs", "0_to_1_hr", "1_hr", 
    "2_hr", "3_hr", "4_hr", "More_4_hr"), class = "factor"), 
    CompHrsDay = structure(c(1L, 4L, NA, 6L, 3L, NA, 1L, 3L, 
    NA, NA, NA, 3L, NA, NA, 1L, NA, 2L, NA, NA, 2L, NA, NA, 2L, 
    4L, NA, 3L, 2L, 2L, 1L, 1L, 1L, 7L, NA, NA, NA, 1L, 5L, NA, 
    NA, 2L, 3L, 1L, 3L, NA, NA, NA, 6L, 4L, NA, 4L, NA, 2L, 5L, 
    5L, 3L, NA, 1L, NA, 5L, NA, 2L, 2L, 2L, 2L, 2L, 6L, 5L, NA, 
    NA, 5L, 2L, NA, NA, NA, 2L, NA, 4L, NA, NA, 1L, NA, 1L, 1L, 
    NA, NA, 7L, NA, NA, NA, 2L, 2L, NA, 2L, 7L, NA, NA, NA, NA, 
    NA, 1L, 4L, 2L, NA, NA, 2L, 1L, NA, NA, NA, NA, NA, 1L, 2L, 
    3L, NA, NA, 3L, NA, NA, 1L, NA, NA, NA, 2L, NA, 1L, NA, 2L, 
    NA, 2L, 2L, NA, 3L, NA, 3L, NA, NA, NA, 1L, 2L, NA, 1L, NA, 
    4L, 4L, 2L, NA, NA, 4L, NA, NA, 1L, NA, 2L, NA, 2L, NA, 3L, 
    NA, 3L, NA, 2L, NA, 2L, NA, 2L, NA, 1L, NA, 1L, 3L, 6L, 3L, 
    6L, NA, NA, 1L, 2L, 1L, NA, NA, 4L, 3L, NA, 2L, NA, NA, NA, 
    NA, 2L, 4L, NA, NA, NA, 3L, 4L, 2L, NA, 1L, NA, 3L, NA, NA, 
    NA, 2L, 5L, 2L, 3L, 2L, NA, NA, 2L, 1L, 4L, 3L, 2L, 2L, NA, 
    4L, 2L, 2L, 2L, NA, 1L, 4L, 4L, NA, NA, 6L, NA, 3L, NA, 6L, 
    6L, NA, 4L, NA, NA, 1L, NA, NA, NA, 4L, 7L, NA, 2L, 3L, NA, 
    NA, 7L, 3L, NA, NA, 1L, 4L, 1L, NA, NA, 4L, NA, 4L, NA, NA, 
    2L, NA, 2L, NA, 1L, 2L, 6L, NA, 4L, NA, NA, NA, NA, NA, 3L, 
    7L, NA, 3L, NA, 4L, NA, NA, 3L, NA, 5L, NA, NA, NA, NA, NA, 
    1L, NA, 6L, NA, 3L, NA, 2L, 3L, 1L, 3L, 5L, 4L, 2L, NA, NA, 
    1L, NA, NA, 4L, NA, 3L, NA, 3L, NA, NA, 3L, 1L, 2L, NA, 5L, 
    5L, NA, 3L, 2L, 1L, NA, 2L, 2L, NA, NA, NA, NA, NA, 4L, 2L, 
    NA, NA, NA, 3L, NA, 2L, NA, 4L, 1L, NA, 1L, NA, NA, 2L, NA, 
    NA, NA, NA, 3L, NA, 2L, NA, NA, NA, 7L, 2L, NA, NA, NA, NA, 
    3L, NA, 5L, NA, 4L, 3L, NA, 4L, NA, NA, 1L, NA, NA, 2L, NA, 
    NA, 5L, NA, NA, 2L, NA, NA, NA, 3L, 2L, 2L, NA, NA, NA, NA, 
    2L, 2L, 3L, 2L, NA, 1L, NA, 4L, 1L, NA, 2L, NA, NA, NA, NA, 
    7L, 7L, 3L, 2L, 5L, NA, NA, NA, 3L, NA, 3L, NA, 2L, NA, 2L, 
    2L, NA, NA, 2L, 1L, NA, 1L, 2L, NA, 1L, NA, 5L, 1L, NA, NA, 
    1L, NA, NA, 2L, NA, NA, NA, NA, NA, 2L, NA, 3L, 3L, NA, NA, 
    4L, NA, 7L, NA, 1L, NA, 2L, NA, 3L, NA, 3L, 3L, 4L, NA, 2L, 
    NA, 1L, 1L, 1L, NA, 4L, NA, 1L, NA, NA, 2L, NA, NA, 2L, 7L, 
    NA, NA, NA, NA, NA, NA, NA, NA, 4L, 2L, 2L, NA), .Label = c("0_hrs", 
    "0_to_1_hr", "1_hr", "2_hr", "3_hr", "4_hr", "More_4_hr"), class = "factor"), 
    TVHrsDayChild = c(NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_), CompHrsDayChild = c(NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, 
    NA_integer_, NA_integer_, NA_integer_, NA_integer_), Alcohol12PlusYr = structure(c(2L, 
    2L, 2L, 1L, 2L, NA, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, NA, 2L, 
    2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, NA, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 
    NA, NA, NA, 2L, 2L, NA, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 
    2L, 2L, 2L, 1L, NA, 1L, 2L, 1L, NA, 1L, NA, NA, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
    NA, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, NA, 2L, 2L, 1L, 
    1L, 2L, 2L, 1L, 2L, NA, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 
    2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 
    1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 
    2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 
    2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, NA, 2L, 
    2L, 2L, 2L, 2L, 1L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, NA, 1L, 2L, 2L, 2L, 2L, 2L, 
    1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 
    2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, NA, 2L, 2L, 2L, 
    2L, 2L, 1L, 2L, NA, NA, 2L, 2L, NA, 2L, 2L, 1L, 2L, NA, 2L, 
    2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    1L, 1L, 2L, 2L, 2L, NA, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, NA, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
    2L, NA, 1L, 2L, 2L, 2L, 2L, NA, 2L, 1L, 2L, NA, 1L, 2L, NA, 
    2L, 2L, NA, 2L, 2L, 1L, NA, 1L, 2L, 2L, 2L, 1L, 2L, NA, 2L, 
    2L, 2L, 2L, NA, 1L, 1L, 2L, NA, NA, 2L, NA, 2L, 1L, 1L, NA, 
    2L, 1L, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, NA, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, NA, 2L, 1L, 2L, 2L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 1L, 2L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L), .Label = c("No", "Yes"), class = "factor"), 
    AlcoholDay = c(1L, 2L, NA, NA, 1L, NA, 1L, 2L, 2L, 1L, NA, 
    4L, 3L, 2L, NA, 12L, NA, 2L, 1L, 3L, NA, NA, 2L, NA, 5L, 
    1L, 1L, 6L, 6L, 1L, NA, 3L, 1L, 6L, 3L, 1L, NA, NA, 1L, 4L, 
    2L, 12L, 1L, NA, 6L, 3L, 2L, 2L, NA, 1L, 2L, NA, NA, NA, 
    2L, NA, NA, 1L, NA, 2L, 2L, NA, NA, NA, 2L, 6L, NA, 2L, 4L, 
    4L, 1L, 2L, 1L, 2L, 4L, NA, 2L, NA, 1L, 1L, NA, NA, 1L, 2L, 
    NA, 1L, NA, NA, 3L, 1L, 1L, 2L, 1L, 5L, 1L, 36L, NA, NA, 
    2L, 3L, 10L, NA, 2L, 1L, 2L, 1L, 4L, 2L, 4L, 3L, 2L, 5L, 
    5L, 1L, 2L, NA, NA, 3L, 1L, 2L, 2L, NA, 1L, 4L, 20L, NA, 
    1L, 5L, NA, NA, 2L, 2L, NA, 2L, 1L, NA, NA, NA, NA, 1L, 2L, 
    NA, NA, 1L, 2L, 1L, 1L, NA, 2L, 1L, NA, 2L, 6L, 2L, NA, 1L, 
    2L, NA, NA, NA, NA, NA, NA, 1L, 2L, 1L, 6L, NA, 2L, 6L, 3L, 
    2L, 6L, NA, 2L, 2L, NA, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 
    NA, 1L, 1L, 5L, 6L, 1L, NA, 5L, 2L, 2L, NA, NA, 2L, NA, 1L, 
    2L, 3L, 3L, 2L, 2L, 1L, 6L, 4L, 1L, NA, 3L, 2L, 8L, NA, 7L, 
    4L, 2L, 3L, 12L, 1L, 3L, NA, 6L, 2L, 1L, 5L, 2L, 3L, 2L, 
    1L, 7L, NA, 2L, 6L, 4L, 2L, NA, 1L, 6L, NA, 4L, 1L, 1L, 1L, 
    NA, 1L, 2L, 2L, 2L, 2L, 1L, NA, NA, NA, 2L, 2L, 6L, 1L, 2L, 
    NA, 1L, NA, NA, 6L, 5L, 2L, 3L, 5L, 3L, 2L, 4L, 2L, NA, 2L, 
    NA, 2L, NA, 1L, NA, NA, 1L, 1L, 1L, 1L, 2L, NA, 1L, 8L, NA, 
    2L, 2L, NA, NA, 2L, 1L, 2L, 3L, NA, NA, 2L, 3L, 1L, 5L, NA, 
    NA, 1L, 1L, 2L, 3L, 1L, 1L, NA, 2L, 4L, 6L, 6L, 3L, NA, 10L, 
    NA, NA, 1L, 3L, NA, 2L, 1L, NA, 2L, NA, 2L, 1L, 2L, 7L, NA, 
    2L, 1L, NA, 3L, NA, 12L, 3L, 1L, 3L, 1L, 1L, NA, 1L, 2L, 
    4L, 1L, NA, 1L, 3L, 4L, NA, 2L, 2L, 2L, NA, 6L, 3L, 3L, 4L, 
    1L, 3L, 3L, NA, 1L, 2L, 5L, NA, 2L, 1L, 1L, 1L, 1L, NA, 1L, 
    NA, 2L, NA, 2L, NA, NA, NA, 2L, NA, NA, 2L, NA, 8L, 1L, NA, 
    3L, 2L, NA, NA, NA, 1L, 3L, 5L, NA, NA, NA, 2L, 3L, NA, 2L, 
    NA, NA, NA, 1L, NA, NA, 1L, NA, 5L, NA, NA, NA, 2L, NA, 4L, 
    NA, 2L, 1L, 1L, 2L, NA, 5L, NA, 1L, 1L, NA, 2L, 2L, 2L, 5L, 
    NA, NA, 1L, NA, NA, 1L, NA, 2L, NA, 2L, 4L, NA, 2L, 1L, 2L, 
    1L, 1L, 2L, 1L, NA, 1L, 10L, NA, 7L, NA, NA, 4L, 1L, 3L, 
    NA, 2L, 1L, NA, NA, 3L, NA, NA, 2L, 3L, 2L, NA, 9L, 1L, 2L, 
    3L, 1L, 8L, 3L, 10L, 5L, NA, 6L, NA, 2L, NA, 3L, 2L, 2L, 
    3L, NA, 2L), AlcoholYear = c(24L, 3L, 0L, 0L, 364L, NA, 12L, 
    104L, 2L, 1L, NA, 104L, 52L, 12L, NA, 364L, 0L, 260L, 24L, 
    364L, NA, 0L, 12L, NA, 1L, 52L, 12L, 3L, 52L, 1L, NA, 24L, 
    3L, 12L, 104L, 4L, 0L, 0L, 3L, 12L, 24L, 156L, 300L, NA, 
    24L, 24L, 104L, 6L, NA, 2L, 260L, 0L, NA, 0L, 4L, 0L, 0L, 
    24L, NA, 104L, 208L, NA, NA, NA, 52L, 52L, NA, 104L, 1L, 
    3L, 12L, 364L, 12L, 260L, 12L, 0L, 48L, 0L, 156L, 1L, NA, 
    0L, 4L, 1L, NA, 10L, NA, NA, 3L, 1L, 364L, 36L, 1L, 12L, 
    260L, 56L, 0L, 0L, 364L, 104L, 12L, NA, 5L, 52L, 208L, 3L, 
    12L, 60L, 52L, 52L, 364L, 24L, 24L, 5L, 260L, 0L, 0L, 48L, 
    288L, 3L, 104L, NA, 12L, 24L, 4L, NA, 156L, 364L, NA, NA, 
    260L, 8L, NA, 104L, 104L, NA, 0L, 0L, 0L, 3L, 12L, NA, NA, 
    104L, 24L, 208L, 208L, 0L, 4L, 3L, 0L, 24L, 52L, 260L, 0L, 
    2L, 52L, NA, 0L, 0L, NA, NA, NA, 260L, 364L, 1L, 52L, 0L, 
    364L, 208L, 6L, 1L, 156L, NA, 24L, 52L, NA, 312L, 52L, 12L, 
    96L, 12L, 168L, 156L, 260L, NA, 0L, 12L, 3L, 24L, 52L, 364L, 
    0L, 24L, 36L, 5L, NA, 0L, 12L, 0L, 104L, 1L, 180L, 156L, 
    156L, 364L, 3L, 104L, 52L, 3L, NA, 52L, 60L, 104L, NA, 52L, 
    2L, 36L, 104L, 104L, 208L, 364L, 0L, 364L, 24L, 2L, 52L, 
    24L, 364L, 260L, 260L, 4L, 0L, 156L, 364L, 104L, 104L, NA, 
    52L, 24L, NA, 6L, 6L, 52L, 2L, NA, 12L, 12L, 104L, 24L, 104L, 
    52L, 0L, 0L, NA, 208L, 156L, 12L, 260L, 36L, 0L, 360L, 0L, 
    NA, 60L, 10L, 24L, 12L, 104L, 36L, 52L, 104L, 208L, 0L, 104L, 
    NA, 24L, 0L, 1L, NA, NA, 208L, 48L, 36L, 104L, 260L, NA, 
    52L, 65L, NA, 36L, 104L, 0L, NA, 156L, 10L, 156L, 6L, 0L, 
    0L, 312L, 208L, 2L, 104L, NA, NA, 48L, 5L, 208L, 312L, 2L, 
    2L, NA, 104L, 260L, 156L, 12L, 3L, NA, 72L, NA, NA, 24L, 
    3L, NA, 52L, 1L, NA, 36L, NA, 312L, 12L, 156L, 12L, NA, 52L, 
    6L, 0L, 72L, 0L, 104L, 6L, 5L, 104L, 364L, 52L, NA, 104L, 
    208L, 104L, 4L, NA, 208L, 24L, 1L, NA, 5L, 364L, 24L, NA, 
    24L, 260L, 52L, 60L, 52L, 52L, 312L, NA, 5L, 60L, 4L, 0L, 
    200L, 104L, 6L, 52L, 3L, NA, 5L, 0L, 104L, 0L, 104L, NA, 
    0L, NA, 48L, NA, NA, 24L, NA, 52L, 36L, NA, 52L, 52L, 0L, 
    NA, 0L, 12L, 12L, 208L, 0L, 0L, NA, 36L, 12L, 0L, 52L, NA, 
    0L, 0L, 24L, NA, NA, 104L, NA, 12L, 0L, 0L, NA, 156L, NA, 
    208L, NA, 12L, 156L, 104L, 72L, NA, 24L, NA, 5L, 208L, NA, 
    6L, 260L, 104L, 96L, NA, 0L, 208L, 0L, NA, 3L, NA, 12L, NA, 
    52L, 52L, 0L, 24L, 104L, 52L, 12L, 15L, 364L, 104L, 0L, 6L, 
    1L, 0L, 156L, 0L, 0L, 6L, 52L, 260L, 0L, 2L, 12L, NA, 0L, 
    12L, 0L, 0L, 208L, 52L, 208L, NA, 260L, 104L, 364L, 5L, 260L, 
    208L, 48L, 4L, 104L, NA, 104L, 0L, 12L, NA, 104L, 260L, 24L, 
    104L, 0L, 12L), SmokeNow = structure(c(1L, NA, NA, NA, NA, 
    NA, NA, NA, NA, 1L, 2L, 2L, 1L, 1L, NA, 2L, 1L, NA, NA, 1L, 
    NA, 1L, NA, NA, 2L, NA, NA, 1L, NA, 1L, NA, 1L, 1L, NA, NA, 
    1L, 1L, 2L, NA, NA, NA, 2L, 2L, NA, 1L, NA, 1L, 1L, NA, NA, 
    1L, 2L, NA, NA, 2L, 2L, 1L, NA, 2L, NA, NA, 2L, NA, NA, NA, 
    2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, 1L, 1L, 2L, NA, NA, 
    2L, NA, 1L, NA, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 
    2L, NA, NA, NA, 2L, 1L, 1L, NA, NA, 2L, 1L, 2L, NA, 2L, 1L, 
    2L, NA, NA, NA, 1L, 2L, NA, NA, NA, 1L, 1L, NA, NA, 1L, NA, 
    1L, NA, 1L, NA, 1L, 1L, NA, NA, NA, NA, NA, NA, 1L, 2L, NA, 
    1L, NA, NA, NA, NA, 1L, NA, NA, 1L, NA, NA, NA, 2L, NA, NA, 
    1L, NA, 2L, NA, 1L, NA, 2L, NA, NA, NA, NA, 2L, 1L, 2L, 2L, 
    NA, NA, NA, NA, NA, NA, NA, 1L, NA, NA, NA, NA, 1L, 1L, 1L, 
    NA, 2L, 1L, NA, NA, NA, 1L, NA, NA, NA, 1L, NA, NA, NA, NA, 
    1L, 1L, 2L, NA, 1L, 2L, NA, 2L, NA, 1L, NA, 2L, NA, NA, NA, 
    1L, 2L, NA, NA, 2L, NA, NA, NA, NA, 2L, 2L, NA, NA, 1L, 1L, 
    NA, 2L, NA, NA, 1L, NA, 2L, NA, NA, 1L, NA, 2L, NA, NA, NA, 
    2L, NA, NA, 2L, 2L, NA, NA, 1L, NA, NA, 1L, 2L, 2L, 1L, NA, 
    NA, 1L, 2L, NA, NA, 1L, 1L, NA, 2L, NA, 1L, 2L, NA, NA, NA, 
    NA, NA, 2L, 2L, 1L, NA, NA, 1L, 1L, 1L, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 1L, NA, NA, 2L, NA, 1L, NA, 2L, NA, 2L, 1L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, 2L, 1L, 1L, 1L, 
    2L, 1L, NA, NA, 1L, 1L, NA, 1L, NA, NA, 1L, NA, NA, 2L, NA, 
    1L, NA, NA, 1L, 2L, 2L, 2L, NA, 1L, NA, NA, NA, 1L, NA, NA, 
    1L, 2L, 1L, 1L, 1L, NA, 1L, 2L, NA, NA, 2L, 1L, 1L, 2L, NA, 
    NA, 1L, 1L, NA, 2L, 1L, NA, 1L, NA, 2L, NA, 2L, 1L, 1L, NA, 
    NA, 1L, NA, NA, NA, NA, NA, 2L, NA, 1L, 1L, 1L, NA, 1L, NA, 
    1L, NA, 2L, 2L, NA, 2L, 1L, 1L, 1L, NA, 2L, NA, 1L, 1L, 1L, 
    NA, 2L, NA, 2L, NA, NA, NA, 1L, NA, NA, NA, NA, NA, 2L, NA, 
    NA, 1L, 1L, 1L, 2L, 2L, NA, NA, 1L, NA, NA, NA, NA, 2L, 1L, 
    NA, 1L, NA, NA, 1L, NA, NA, NA, NA, 2L, 1L, 2L, 1L, NA, 1L, 
    NA, 1L, NA, 1L, 2L, 2L, NA, 2L, NA, NA, NA, NA, 1L, NA, 2L, 
    2L, 1L, NA, 2L, 2L, NA, 1L, NA, NA, 2L, 2L, 1L, 1L, 2L, 2L, 
    NA, NA, 2L, 1L, NA, 1L, NA, NA, NA, NA, NA, 2L, NA, NA, NA
    ), .Label = c("No", "Yes"), class = "factor"), Smoke100 = structure(c(2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 
    2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 
    2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
    2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 
    2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 
    2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 
    1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 
    2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 
    2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 
    1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 
    1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 
    2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L), .Label = c("No", "Yes"), class = "factor"), 
    Smoke100n = structure(c(2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 
    1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 
    2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 
    2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 
    2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 
    2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 
    1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 
    2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 
    2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 
    1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 
    2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
    2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 
    2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 
    2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 
    1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 
    1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 
    2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
    2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 
    2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L), .Label = c("Non-Smoker", 
    "Smoker"), class = "factor"), SmokeAge = c(18L, NA, NA, NA, 
    NA, NA, NA, NA, NA, 21L, 18L, 15L, 16L, 18L, NA, 17L, NA, 
    NA, NA, 18L, NA, 20L, NA, NA, 21L, NA, NA, 17L, NA, 14L, 
    NA, 15L, 19L, NA, NA, 16L, 18L, 20L, NA, NA, NA, 15L, 16L, 
    NA, 13L, NA, 16L, 17L, NA, NA, 22L, 17L, NA, NA, 13L, 16L, 
    20L, NA, 20L, NA, NA, 15L, NA, NA, NA, 19L, 20L, NA, NA, 
    NA, NA, NA, NA, NA, NA, 19L, 21L, 14L, NA, NA, 19L, NA, 25L, 
    NA, NA, 18L, NA, 25L, NA, 21L, 15L, 18L, NA, 14L, NA, 8L, 
    NA, NA, NA, 12L, 15L, 20L, NA, NA, 14L, 33L, 17L, NA, 18L, 
    18L, 16L, NA, NA, NA, 16L, 24L, NA, NA, NA, 15L, 18L, NA, 
    NA, 20L, NA, 16L, NA, 20L, NA, 14L, 22L, NA, NA, NA, NA, 
    NA, NA, 16L, 8L, NA, 25L, NA, NA, NA, NA, 10L, NA, NA, 25L, 
    NA, NA, NA, 21L, NA, NA, 10L, NA, 13L, NA, 16L, NA, 15L, 
    NA, NA, NA, NA, 14L, 24L, 17L, 15L, NA, NA, NA, NA, NA, NA, 
    NA, 16L, NA, NA, NA, NA, 16L, 19L, 23L, NA, 13L, 23L, NA, 
    NA, NA, 17L, NA, NA, NA, 19L, NA, NA, NA, NA, 17L, 14L, 16L, 
    NA, 18L, 18L, NA, 18L, NA, 19L, NA, 17L, NA, NA, NA, 16L, 
    17L, NA, NA, 16L, NA, NA, NA, NA, 17L, 15L, NA, NA, 16L, 
    20L, NA, 14L, NA, NA, 24L, NA, 18L, NA, NA, 16L, NA, 16L, 
    NA, NA, NA, 30L, NA, NA, 20L, 16L, NA, NA, 19L, NA, NA, 15L, 
    18L, 15L, 17L, NA, NA, 18L, 15L, NA, NA, 28L, 15L, NA, 16L, 
    NA, 22L, 18L, NA, NA, NA, NA, NA, 15L, 17L, 13L, NA, NA, 
    25L, 22L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 18L, NA, 
    NA, 12L, NA, 10L, NA, 16L, NA, 17L, 17L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 16L, NA, 15L, 17L, 16L, 16L, 18L, NA, 
    NA, NA, 30L, 14L, NA, 52L, NA, NA, 15L, NA, NA, 15L, NA, 
    18L, NA, NA, 16L, 17L, 16L, 12L, NA, 16L, NA, NA, NA, 19L, 
    NA, NA, 16L, 19L, 50L, NA, 10L, NA, 17L, 20L, NA, NA, 16L, 
    NA, 16L, 14L, NA, NA, 19L, 18L, NA, 25L, 16L, NA, 14L, NA, 
    18L, NA, 30L, 18L, 21L, NA, NA, 15L, NA, NA, NA, NA, NA, 
    18L, NA, 21L, 12L, 12L, NA, 17L, NA, 15L, NA, 12L, 21L, NA, 
    18L, 19L, 22L, 12L, NA, 15L, NA, 16L, 18L, 10L, NA, 25L, 
    NA, 17L, NA, NA, NA, 12L, NA, NA, NA, NA, NA, 14L, NA, NA, 
    20L, NA, 23L, 20L, 17L, NA, NA, 20L, NA, NA, NA, NA, 12L, 
    15L, NA, 23L, NA, NA, 21L, NA, NA, NA, NA, 17L, 18L, 25L, 
    13L, NA, 18L, NA, 15L, NA, 21L, 15L, 14L, NA, 36L, NA, NA, 
    NA, NA, 15L, NA, 15L, 17L, 18L, NA, 14L, 16L, NA, 15L, NA, 
    NA, 16L, 45L, NA, 19L, 45L, 15L, NA, NA, 11L, 16L, NA, 19L, 
    NA, NA, NA, NA, NA, 19L, NA, NA, NA), Marijuana = structure(c(1L, 
    2L, 2L, 1L, 1L, NA, NA, 2L, 2L, NA, 2L, 2L, 2L, 1L, NA, 2L, 
    NA, NA, NA, NA, NA, NA, NA, 1L, NA, NA, NA, NA, 2L, NA, NA, 
    2L, NA, 2L, 1L, NA, 2L, NA, NA, 2L, 1L, 2L, 2L, NA, 2L, 2L, 
    2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, NA, NA, NA, NA, 2L, 2L, 
    NA, NA, NA, NA, 1L, NA, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, NA, 
    2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, 2L, NA, 
    2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, NA, 1L, NA, 2L, NA, 
    2L, NA, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, NA, NA, 2L, 
    NA, 1L, 1L, 1L, NA, 1L, NA, NA, NA, 2L, 1L, NA, 1L, NA, 1L, 
    2L, 2L, NA, 1L, 2L, NA, NA, NA, 1L, NA, 1L, NA, 1L, NA, 1L, 
    NA, 2L, NA, 1L, NA, NA, NA, 1L, NA, 1L, 2L, 1L, 1L, 2L, 2L, 
    2L, NA, 2L, 2L, 2L, 1L, 1L, 2L, NA, 2L, NA, NA, 1L, 1L, NA, 
    2L, NA, NA, 2L, 1L, 2L, NA, 1L, 2L, 1L, NA, NA, 1L, 1L, 2L, 
    1L, 2L, 1L, 1L, NA, 1L, 2L, NA, 2L, NA, 1L, 2L, 2L, NA, NA, 
    2L, 2L, 2L, NA, 1L, NA, 1L, 2L, 2L, 2L, NA, 1L, 1L, 1L, NA, 
    1L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, NA, 1L, NA, NA, 2L, 1L, 
    2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, NA, 1L, NA, NA, 
    2L, 2L, 2L, 2L, 1L, NA, 2L, NA, 2L, 2L, NA, 2L, 2L, NA, NA, 
    2L, 2L, 2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, NA, NA, NA, NA, 
    NA, 2L, 2L, NA, 1L, 1L, NA, 1L, NA, 2L, 2L, 2L, 1L, 2L, NA, 
    2L, 2L, NA, NA, 1L, NA, 1L, NA, 2L, NA, 2L, NA, 2L, 2L, 1L, 
    2L, NA, 2L, 1L, 2L, NA, 2L, 2L, NA, 1L, 1L, NA, 2L, NA, 2L, 
    1L, 2L, 1L, NA, 2L, 1L, 1L, 2L, NA, 2L, 2L, 1L, 1L, NA, 2L, 
    1L, NA, 1L, 2L, NA, NA, NA, 2L, 1L, NA, 1L, 2L, NA, 1L, 2L, 
    2L, NA, 2L, 1L, 2L, NA, NA, NA, 1L, 1L, 1L, NA, 1L, NA, 1L, 
    2L, NA, NA, NA, NA, NA, 2L, NA, 2L, NA, 2L, 2L, 1L, 2L, NA, 
    2L, 2L, NA, 1L, 2L, NA, NA, 1L, 1L, 2L, 2L, NA, 1L, NA, 2L, 
    2L, NA, 2L, NA, 1L, 1L, 2L, NA, NA, 2L, NA, 2L, NA, NA, NA, 
    1L, 1L, 2L, NA, 1L, NA, 2L, 2L, NA, 2L, NA, 1L, NA, 1L, NA, 
    NA, 2L, 2L, 1L, NA, NA, 1L, 1L, NA, NA, 1L, 1L, 1L, 2L, NA, 
    2L, 2L, 1L, NA, 1L, 2L, 1L, NA, 2L, 2L, NA, 2L, 1L, 1L, 1L, 
    1L, 2L, 1L, 2L, 1L, NA, NA, 1L, 1L, NA, NA, 2L, 2L, 1L, 2L, 
    NA, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, 1L, 1L, NA, 2L, NA, 
    1L, 1L, 2L, 2L), .Label = c("No", "Yes"), class = "factor"), 
    AgeFirstMarij = c(NA, 19L, 14L, NA, NA, NA, NA, 20L, 19L, 
    NA, 18L, 12L, 17L, NA, NA, 18L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 18L, NA, NA, 18L, NA, 17L, NA, NA, 24L, 
    NA, NA, 13L, NA, 22L, 16L, NA, 13L, 17L, 18L, 13L, NA, NA, 
    17L, 18L, NA, NA, 15L, NA, NA, NA, NA, 20L, 13L, NA, NA, 
    NA, NA, NA, NA, NA, 18L, NA, 18L, 17L, 43L, NA, 13L, NA, 
    18L, 13L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 19L, 19L, 
    NA, 12L, NA, 14L, NA, 6L, NA, NA, NA, 14L, 10L, NA, NA, NA, 
    14L, NA, 18L, NA, NA, 18L, 15L, NA, 16L, NA, 17L, 20L, 21L, 
    16L, NA, NA, 17L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 14L, 
    NA, NA, NA, NA, NA, 17L, 16L, NA, NA, 19L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, 21L, NA, NA, NA, NA, NA, NA, 
    NA, NA, 16L, NA, NA, 19L, 29L, 14L, NA, 18L, 15L, 12L, NA, 
    NA, 19L, NA, 18L, NA, NA, NA, NA, NA, 24L, NA, NA, 14L, NA, 
    13L, NA, NA, 16L, NA, NA, NA, NA, NA, 15L, NA, 16L, NA, NA, 
    NA, NA, 17L, NA, 25L, NA, NA, 12L, 18L, NA, NA, 17L, 20L, 
    25L, NA, NA, NA, NA, 19L, 14L, 19L, NA, NA, NA, NA, NA, NA, 
    16L, NA, 17L, NA, 13L, 15L, 19L, NA, NA, NA, NA, NA, 15L, 
    NA, 14L, NA, NA, NA, NA, 22L, 20L, NA, 16L, 11L, NA, NA, 
    NA, NA, NA, 15L, 15L, 17L, 18L, NA, NA, 14L, NA, 17L, 16L, 
    NA, 15L, 18L, NA, NA, 16L, 18L, 20L, 14L, NA, NA, 20L, 17L, 
    NA, NA, 17L, NA, NA, NA, NA, NA, 18L, 16L, NA, NA, NA, NA, 
    NA, NA, 21L, 25L, 12L, NA, 12L, NA, 15L, 18L, NA, NA, NA, 
    NA, NA, NA, 17L, NA, 19L, NA, 16L, 20L, NA, 15L, NA, 17L, 
    NA, 15L, NA, 19L, 15L, NA, NA, NA, NA, 15L, NA, 16L, NA, 
    21L, NA, NA, 28L, NA, NA, 16L, NA, 13L, 12L, NA, NA, NA, 
    18L, NA, NA, NA, 23L, NA, NA, NA, 17L, NA, NA, NA, 18L, NA, 
    NA, 14L, 18L, NA, 16L, NA, 18L, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 13L, NA, NA, NA, NA, NA, 15L, NA, 26L, NA, 18L, 
    15L, NA, 18L, NA, 12L, 18L, NA, NA, 15L, NA, NA, NA, NA, 
    15L, 12L, NA, NA, NA, 17L, 11L, NA, 18L, NA, NA, NA, 27L, 
    NA, NA, 20L, NA, 15L, NA, NA, NA, NA, NA, 14L, NA, NA, NA, 
    19L, 18L, NA, 15L, NA, NA, NA, NA, NA, NA, 16L, 12L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 17L, NA, 17L, 12L, NA, 
    NA, NA, 14L, NA, NA, 15L, 13L, NA, 17L, NA, NA, NA, NA, 15L, 
    NA, 13L, NA, NA, NA, NA, NA, NA, NA, 19L, 20L, NA, 24L, NA, 
    NA, 18L, NA, 20L, 19L, 13L, 17L, NA, 21L, NA, NA, NA, 14L, 
    NA, NA, NA, 16L, 22L), RegularMarij = structure(c(1L, 2L, 
    2L, 1L, 1L, NA, NA, 1L, 1L, NA, 1L, 2L, 1L, 1L, NA, 1L, NA, 
    NA, NA, NA, NA, NA, NA, 1L, NA, NA, NA, NA, 1L, NA, NA, 1L, 
    NA, 1L, 1L, NA, 1L, NA, NA, 2L, 1L, 1L, 1L, NA, 2L, 1L, 2L, 
    1L, NA, NA, 2L, 2L, NA, NA, 1L, NA, NA, NA, NA, 2L, 1L, NA, 
    NA, NA, NA, 1L, NA, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, NA, 1L, 
    2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1L, 1L, NA, 2L, 
    1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, NA, 1L, NA, 2L, NA, 2L, 
    NA, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, NA, NA, 2L, NA, 
    1L, 1L, 1L, NA, 1L, NA, NA, NA, 2L, 1L, NA, 1L, NA, 1L, 1L, 
    1L, NA, 1L, 2L, NA, NA, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 
    1L, NA, 1L, NA, NA, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    NA, 2L, 2L, 1L, 1L, 1L, 1L, NA, 1L, NA, NA, 1L, 1L, NA, 2L, 
    NA, NA, 2L, 1L, 1L, NA, 1L, 2L, 1L, NA, NA, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, NA, 1L, 2L, NA, 1L, NA, 1L, 2L, 2L, NA, NA, 2L, 
    1L, 1L, NA, 1L, NA, 1L, 1L, 2L, 2L, NA, 1L, 1L, 1L, NA, 1L, 
    1L, NA, 1L, NA, 1L, 2L, 1L, NA, NA, 1L, NA, NA, 2L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, NA, 1L, NA, NA, 2L, 
    1L, 2L, 1L, 1L, NA, 1L, NA, 1L, 1L, NA, 1L, 1L, NA, NA, 1L, 
    1L, 1L, 2L, NA, NA, 2L, 1L, NA, NA, 1L, NA, NA, NA, NA, NA, 
    1L, 1L, NA, 1L, 1L, NA, 1L, NA, 2L, 1L, 2L, 1L, 2L, NA, 2L, 
    1L, NA, NA, 1L, NA, 1L, NA, 2L, NA, 1L, NA, 1L, 1L, 1L, 1L, 
    NA, 2L, 1L, 1L, NA, 1L, 1L, NA, 1L, 1L, NA, 1L, NA, 2L, 1L, 
    1L, 1L, NA, 1L, 1L, 1L, 1L, NA, 1L, 2L, 1L, 1L, NA, 2L, 1L, 
    NA, 1L, 1L, NA, NA, NA, 2L, 1L, NA, 1L, 1L, NA, 1L, 2L, 1L, 
    NA, 2L, 1L, 2L, NA, NA, NA, 1L, 1L, 1L, NA, 1L, NA, 1L, 2L, 
    NA, NA, NA, NA, NA, 2L, NA, 1L, NA, 1L, 1L, 1L, 1L, NA, 2L, 
    1L, NA, 1L, 2L, NA, NA, 1L, 1L, 1L, 2L, NA, 1L, NA, 1L, 2L, 
    NA, 2L, NA, 1L, 1L, 1L, NA, NA, 1L, NA, 2L, NA, NA, NA, 1L, 
    1L, 2L, NA, 1L, NA, 1L, 1L, NA, 2L, NA, 1L, NA, 1L, NA, NA, 
    1L, 1L, 1L, NA, NA, 1L, 1L, NA, NA, 1L, 1L, 1L, 2L, NA, 1L, 
    1L, 1L, NA, 1L, 2L, 1L, NA, 2L, 1L, NA, 2L, 1L, 1L, 1L, 1L, 
    2L, 1L, 1L, 1L, NA, NA, 1L, 1L, NA, NA, 1L, 1L, 1L, 2L, NA, 
    NA, 2L, NA, 1L, 1L, 1L, 2L, NA, 2L, 1L, 1L, NA, 2L, NA, 1L, 
    1L, 2L, 1L), .Label = c("No", "Yes"), class = "factor"), 
    AgeRegMarij = c(NA, 20L, 16L, NA, NA, NA, NA, NA, NA, NA, 
    NA, 16L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    13L, NA, NA, NA, NA, 13L, NA, 19L, NA, NA, NA, 18L, 18L, 
    NA, NA, NA, NA, NA, NA, NA, 24L, NA, NA, NA, NA, NA, NA, 
    NA, NA, 19L, NA, NA, 20L, NA, NA, 13L, NA, NA, 14L, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 12L, NA, 19L, 
    NA, 10L, NA, NA, NA, NA, 14L, NA, NA, NA, 14L, NA, 18L, NA, 
    NA, 18L, 17L, NA, 16L, NA, NA, NA, NA, NA, NA, NA, 24L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 18L, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 20L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 23L, NA, 18L, 17L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, 34L, NA, NA, 19L, NA, NA, NA, NA, 16L, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 17L, NA, NA, NA, NA, 
    14L, 21L, NA, NA, 17L, NA, NA, NA, NA, NA, NA, NA, 18L, 20L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 16L, NA, NA, 
    NA, NA, NA, NA, 15L, NA, 19L, NA, NA, NA, NA, NA, NA, NA, 
    16L, 13L, NA, NA, NA, NA, NA, 18L, NA, 17L, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 19L, NA, NA, 
    20L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 21L, NA, 12L, NA, 35L, NA, 21L, NA, NA, NA, 
    NA, NA, NA, NA, 20L, NA, NA, NA, NA, NA, NA, NA, NA, 17L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 16L, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 12L, NA, NA, NA, 18L, NA, 
    NA, NA, NA, NA, NA, NA, 25L, NA, NA, NA, NA, NA, NA, 18L, 
    NA, NA, 18L, NA, 19L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 16L, NA, NA, NA, NA, NA, 17L, NA, NA, NA, NA, NA, NA, 
    NA, NA, 17L, NA, NA, NA, 15L, NA, NA, NA, NA, NA, 20L, NA, 
    NA, NA, NA, 11L, NA, 18L, NA, NA, NA, NA, NA, NA, NA, NA, 
    15L, NA, NA, NA, NA, NA, 16L, NA, NA, NA, NA, NA, NA, 15L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 17L, NA, NA, NA, NA, NA, NA, 15L, NA, NA, 16L, 
    NA, NA, 20L, NA, NA, NA, NA, 15L, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 26L, NA, NA, 18L, NA, NA, NA, NA, 
    25L, NA, 24L, NA, NA, NA, 20L, NA, NA, NA, 18L, NA), HardDrugs = structure(c(1L, 
    1L, 2L, 1L, 1L, NA, NA, 1L, 1L, NA, 1L, 2L, 1L, 1L, NA, 2L, 
    1L, NA, 1L, 2L, NA, NA, NA, 1L, 1L, 1L, NA, NA, 1L, 1L, NA, 
    1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 2L, 2L, NA, NA, 2L, 1L, NA, NA, NA, 1L, 1L, 
    NA, NA, NA, NA, 1L, NA, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, NA, 
    1L, 2L, 1L, NA, NA, NA, NA, NA, NA, 2L, NA, NA, 1L, 1L, NA, 
    2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, NA, 1L, 1L, 2L, NA, 
    1L, NA, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 2L, 
    NA, 1L, 1L, 1L, NA, 1L, 1L, 1L, NA, 2L, 1L, NA, 1L, NA, 1L, 
    1L, 1L, NA, 1L, 1L, NA, NA, NA, 1L, NA, 1L, NA, 1L, 1L, 1L, 
    1L, 1L, NA, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, NA, 2L, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, NA, 1L, 1L, NA, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, NA, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, NA, NA, 
    1L, 1L, 1L, NA, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, NA, 1L, 1L, 2L, 2L, 1L, NA, 2L, 1L, 1L, NA, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 
    1L, NA, 1L, 1L, 1L, NA, 2L, NA, 1L, 1L, NA, 1L, 2L, NA, 1L, 
    1L, 1L, 1L, 1L, NA, NA, 1L, 2L, NA, 1L, 2L, NA, NA, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 2L, 1L, 
    1L, 1L, NA, NA, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 2L, 1L, 
    NA, 1L, 2L, NA, 2L, NA, 1L, 1L, NA, 1L, 1L, NA, 1L, NA, 2L, 
    1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 
    1L, 1L, 1L, 1L, NA, NA, NA, 1L, 1L, NA, 1L, 1L, 2L, 1L, 2L, 
    2L, NA, 1L, 1L, 1L, NA, NA, NA, 1L, 1L, 1L, NA, 1L, 2L, 1L, 
    1L, NA, NA, NA, NA, NA, 2L, NA, 1L, NA, 2L, 2L, 1L, 1L, NA, 
    2L, 2L, NA, 1L, 1L, 1L, NA, 1L, 1L, 1L, 2L, NA, 1L, NA, 1L, 
    1L, NA, 2L, NA, 1L, 1L, 1L, NA, NA, 1L, NA, 2L, 1L, NA, NA, 
    1L, 1L, 2L, NA, 1L, NA, 1L, 1L, NA, 2L, NA, 1L, NA, 1L, NA, 
    1L, 1L, 1L, 1L, NA, NA, 1L, 1L, NA, NA, 1L, 1L, 1L, 2L, NA, 
    1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, NA, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    NA, 1L, 2L, NA, 1L, 1L, 2L, 1L, NA, 1L, 1L, 1L, 1L, 2L, NA, 
    1L, 1L, 1L, 1L), .Label = c("No", "Yes"), class = "factor"), 
    SexEver = structure(c(2L, 2L, 2L, 1L, 2L, NA, NA, 2L, 2L, 
    NA, 2L, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, 2L, NA, NA, NA, 2L, 
    2L, 2L, NA, NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 1L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, NA, 
    2L, 2L, NA, NA, NA, 2L, 2L, NA, NA, NA, NA, 2L, NA, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, NA, NA, NA, NA, NA, 
    NA, 2L, NA, NA, 2L, 1L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, NA, 2L, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, 2L, 2L, 2L, 
    NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, 2L, 2L, NA, NA, NA, 
    2L, NA, 2L, NA, 2L, 2L, 2L, 2L, 2L, NA, 2L, NA, 1L, NA, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 1L, 2L, 2L, 
    NA, 2L, NA, NA, 1L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, NA, NA, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, NA, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 
    NA, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, NA, 
    2L, 2L, NA, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, NA, NA, 2L, 2L, 
    NA, 2L, 2L, NA, NA, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 
    NA, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, NA, NA, 2L, 2L, 2L, 2L, 
    2L, NA, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 
    NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, NA, NA, NA, 2L, 
    2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 1L, 2L, NA, NA, NA, 
    2L, 2L, 2L, NA, 2L, 2L, 2L, 2L, NA, NA, NA, NA, NA, 2L, NA, 
    2L, NA, 2L, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, 2L, 2L, NA, 2L, 
    2L, 2L, 2L, NA, 2L, NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, 
    NA, 2L, NA, 2L, 2L, NA, NA, 2L, 2L, 2L, NA, 2L, NA, 2L, 2L, 
    NA, 2L, NA, 2L, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, NA, 2L, 2L, 
    NA, NA, 2L, 1L, 2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    NA, 2L, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, 2L), .Label = c("No", 
    "Yes"), class = "factor"), SexAge = c(16L, 17L, 14L, NA, 
    17L, NA, NA, 19L, 13L, NA, 18L, 16L, 17L, 18L, NA, 18L, 21L, 
    NA, 21L, 17L, NA, NA, NA, 20L, 21L, 17L, NA, NA, 23L, 12L, 
    NA, 17L, NA, 16L, 15L, 21L, 20L, 21L, 15L, 17L, NA, 18L, 
    16L, NA, 15L, 16L, 16L, 15L, 50L, 23L, 17L, 19L, NA, NA, 
    15L, 19L, NA, NA, NA, 16L, 15L, NA, NA, NA, NA, 17L, NA, 
    16L, 17L, 14L, 19L, 19L, 18L, 17L, 17L, NA, 18L, 13L, 17L, 
    NA, NA, NA, NA, NA, NA, 18L, NA, NA, 17L, NA, NA, 19L, 17L, 
    14L, 20L, 9L, 18L, 17L, 19L, 14L, 14L, NA, 17L, 17L, 17L, 
    NA, 16L, NA, 16L, 15L, 16L, 13L, 13L, 27L, 17L, 23L, 15L, 
    18L, 21L, NA, 15L, NA, 19L, 19L, 19L, NA, 21L, 18L, 19L, 
    NA, 16L, 17L, NA, 24L, NA, 16L, 15L, 18L, NA, 17L, 24L, NA, 
    NA, NA, 18L, NA, 20L, NA, 29L, 18L, 16L, 20L, 23L, NA, 37L, 
    NA, NA, NA, 15L, 9L, 9L, 14L, 22L, 18L, 25L, 25L, 15L, NA, 
    13L, 13L, 16L, NA, 30L, 15L, NA, 16L, NA, NA, NA, 18L, NA, 
    16L, 16L, 18L, 9L, 26L, 17L, 25L, 24L, 13L, 16L, NA, NA, 
    23L, 14L, 17L, NA, 21L, 23L, 17L, 19L, 15L, 16L, 21L, 14L, 
    9L, 15L, 17L, 15L, NA, NA, 16L, 15L, 17L, NA, 14L, 14L, 18L, 
    16L, 12L, 19L, 20L, 37L, 18L, 17L, 18L, 15L, 18L, NA, 21L, 
    18L, 12L, 16L, 19L, NA, 18L, 15L, 24L, NA, 14L, 17L, 13L, 
    17L, 22L, 15L, 23L, 18L, 19L, 18L, 23L, 16L, 22L, 25L, 19L, 
    NA, 16L, 15L, 15L, 18L, 17L, 15L, NA, 19L, NA, 17L, 15L, 
    NA, 16L, 19L, NA, 18L, 16L, 16L, 18L, 17L, NA, NA, 15L, 17L, 
    NA, 16L, 18L, NA, NA, NA, 24L, 25L, 18L, 16L, 21L, 28L, 24L, 
    NA, 24L, NA, 14L, 16L, 18L, NA, 9L, 19L, 14L, 16L, NA, NA, 
    18L, 17L, 20L, 17L, 15L, NA, 18L, NA, 16L, 16L, 30L, 15L, 
    18L, 15L, 10L, 16L, NA, 16L, 17L, NA, 16L, 18L, NA, 15L, 
    NA, 18L, 16L, 31L, 15L, NA, 17L, 16L, 15L, 14L, 19L, 17L, 
    18L, 9L, 14L, NA, 19L, 25L, 22L, 22L, 19L, NA, NA, NA, 15L, 
    15L, NA, 18L, 17L, 19L, 26L, 14L, 20L, NA, 15L, NA, 17L, 
    NA, NA, NA, 25L, 15L, 20L, NA, 19L, 16L, 17L, 13L, NA, NA, 
    NA, NA, NA, 17L, NA, 18L, NA, 24L, 16L, 22L, 16L, NA, 14L, 
    16L, NA, 17L, 15L, 18L, NA, 18L, 20L, 18L, 16L, NA, 14L, 
    NA, 13L, 13L, NA, 18L, NA, 19L, 16L, 25L, NA, NA, 19L, NA, 
    16L, 18L, NA, NA, 19L, 17L, 16L, NA, 19L, NA, 18L, 17L, NA, 
    15L, NA, 21L, NA, 20L, NA, 17L, 15L, 13L, 18L, NA, NA, 18L, 
    28L, NA, NA, 14L, NA, 20L, 35L, NA, 14L, 18L, 16L, 18L, 18L, 
    16L, 18L, 15L, 15L, 14L, NA, 19L, 16L, 25L, 17L, 25L, 16L, 
    19L, 17L, 17L, NA, 17L, 16L, 16L, 17L, 16L, 18L, 18L, 23L, 
    14L, NA, 17L, 18L, NA, 14L, 14L, 19L, 13L, NA, 15L, 21L, 
    18L, 23L, 14L, NA, 22L, 17L, 17L, 16L), SexNumPartnLife = c(26L, 
    10L, 50L, 0L, 4L, NA, NA, 3L, 15L, NA, 3L, 9L, 5L, 7L, NA, 
    10L, 6L, NA, 0L, 35L, NA, NA, NA, 1L, 5L, 8L, NA, NA, 20L, 
    50L, NA, 5L, NA, 3L, 8L, 3L, 1L, 10L, 2L, NA, 0L, 5L, 10L, 
    NA, 20L, 10L, 15L, 8L, 1L, 4L, 6L, 15L, NA, NA, 20L, 1L, 
    NA, NA, NA, 5L, 15L, NA, NA, NA, NA, 7L, NA, 30L, 20L, 12L, 
    16L, 3L, 11L, 3L, NA, NA, 16L, 50L, 6L, NA, NA, NA, NA, NA, 
    NA, 25L, NA, NA, 6L, 0L, NA, 15L, 5L, 26L, 1L, 150L, 1L, 
    8L, 4L, 10L, 90L, NA, 1L, 3L, 5L, NA, 14L, NA, 30L, 3L, 17L, 
    7L, 999L, 3L, 3L, 1L, 10L, 8L, 12L, NA, 6L, NA, 6L, 3L, 3L, 
    NA, 2L, 5L, 3L, NA, 10L, 8L, NA, 1L, NA, 1L, 8L, 5L, NA, 
    2L, 8L, NA, NA, NA, 3L, NA, 6L, NA, 1L, 1L, 8L, 12L, 3L, 
    NA, 1L, NA, 0L, NA, 6L, 8L, 5L, 4L, 1L, 1L, 4L, 0L, 19L, 
    NA, 34L, 5L, 6L, 0L, 1L, 10L, NA, 20L, NA, NA, 0L, 3L, NA, 
    10L, 6L, 1L, 150L, 1L, 6L, 35L, 1L, 999L, 25L, NA, NA, 3L, 
    6L, 15L, NA, 1L, 3L, 1L, 12L, 4L, 25L, 4L, 6L, 360L, 9L, 
    NA, 20L, NA, NA, 15L, 2L, 6L, NA, 10L, 12L, 1L, 14L, 30L, 
    5L, 1L, 1L, 7L, 3L, 1L, 5L, 16L, NA, 6L, 1L, 35L, 2L, 15L, 
    NA, 4L, 30L, 3L, NA, 20L, 3L, 12L, 3L, 2L, 5L, 2L, 3L, 2L, 
    4L, 2L, 5L, 1L, 2L, 15L, NA, 5L, 20L, 4L, 15L, 10L, 3L, NA, 
    15L, NA, 10L, 10L, NA, 13L, 4L, NA, 12L, 10L, 30L, 5L, 8L, 
    NA, NA, 20L, 20L, NA, 2L, 30L, NA, NA, NA, 3L, 1L, 4L, 6L, 
    4L, 1L, 1L, NA, 3L, NA, 30L, 6L, 150L, 0L, 40L, 6L, 10L, 
    3L, NA, NA, 2L, 4L, 6L, 30L, 10L, NA, 6L, NA, 30L, 25L, 1L, 
    4L, 24L, 10L, NA, 3L, NA, 20L, 2L, NA, 8L, 3L, NA, 35L, NA, 
    5L, 4L, 4L, 19L, NA, 2L, 3L, 5L, 15L, 100L, 10L, 150L, 5L, 
    3L, NA, 85L, 2L, 1L, 15L, 35L, NA, NA, NA, 10L, 1L, NA, 7L, 
    30L, 2L, 1L, 560L, 30L, NA, 4L, 0L, 6L, NA, NA, NA, 1L, 1L, 
    3L, NA, 11L, 30L, 1L, 4L, NA, NA, NA, NA, NA, 9L, NA, 15L, 
    NA, 2L, 3L, 3L, 7L, NA, 50L, 5L, NA, 3L, 8L, 2L, NA, 9L, 
    4L, 5L, 22L, NA, 12L, NA, 20L, 10L, NA, 7L, NA, 1L, 2L, 5L, 
    NA, NA, 4L, NA, 15L, 3L, NA, NA, 1L, 2L, 10L, NA, 3L, NA, 
    9L, 4L, NA, 25L, NA, 2L, NA, 5L, NA, 20L, 5L, 5L, 7L, NA, 
    NA, 2L, 3L, NA, NA, 10L, 0L, 1L, 30L, NA, 13L, 25L, 6L, 5L, 
    10L, 100L, 5L, 0L, 25L, 35L, NA, 35L, 5L, 1L, 5L, 1L, 18L, 
    1L, 15L, 1L, NA, 8L, 4L, 4L, 5L, 5L, 3L, 8L, 4L, 800L, NA, 
    5L, 13L, NA, 30L, 9L, 7L, 50L, NA, 10L, 1L, 18L, 1L, 50L, 
    NA, 1L, 3L, 8L, 7L), SexNumPartYear = c(2L, 2L, 1L, 0L, 1L, 
    NA, NA, 1L, 2L, NA, 0L, 1L, 1L, 1L, NA, 1L, NA, NA, NA, NA, 
    NA, NA, NA, 1L, NA, NA, NA, NA, 3L, NA, NA, 1L, NA, 1L, 1L, 
    NA, 0L, NA, NA, NA, 0L, 1L, 1L, NA, 1L, 1L, 0L, 1L, NA, NA, 
    1L, 0L, NA, NA, 1L, NA, NA, NA, NA, 0L, 1L, NA, NA, NA, NA, 
    2L, NA, 3L, 1L, 2L, 0L, 1L, 1L, 1L, NA, NA, 1L, 1L, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 1L, 0L, NA, 2L, 1L, 0L, 1L, 
    3L, 1L, 0L, 1L, 1L, 17L, NA, 1L, NA, 1L, NA, 1L, NA, 2L, 
    1L, 4L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, NA, NA, 1L, NA, 1L, 1L, 
    2L, NA, 1L, NA, NA, NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 0L, NA, 
    0L, 0L, NA, NA, NA, 1L, NA, 1L, NA, 0L, NA, 1L, NA, 0L, NA, 
    1L, NA, NA, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 0L, 1L, NA, 2L, 
    1L, 1L, 0L, 1L, 1L, NA, 0L, NA, NA, 0L, 1L, NA, 1L, NA, NA, 
    1L, 0L, 1L, NA, 1L, 1L, 3L, NA, NA, 1L, 1L, 1L, NA, 1L, 1L, 
    1L, NA, 1L, 2L, NA, 1L, NA, 0L, 5L, 1L, NA, NA, 1L, 1L, 0L, 
    NA, 0L, NA, 0L, 1L, 7L, 0L, NA, 1L, 1L, 1L, NA, 1L, 1L, NA, 
    1L, NA, 1L, 0L, 2L, NA, NA, 1L, NA, NA, 1L, 1L, 1L, 1L, 1L, 
    1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, NA, 1L, NA, NA, 1L, NA, 1L, 
    1L, 1L, NA, 5L, NA, 4L, 1L, NA, 4L, 0L, NA, NA, 2L, 8L, 1L, 
    5L, NA, NA, 0L, 1L, NA, NA, 1L, NA, NA, NA, NA, NA, 1L, 1L, 
    NA, 0L, 1L, NA, 1L, NA, 3L, 1L, 0L, 0L, 0L, NA, 2L, 1L, NA, 
    NA, 1L, NA, 1L, NA, 3L, NA, 0L, NA, 4L, 1L, 1L, NA, NA, 1L, 
    0L, 1L, NA, 1L, 1L, NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 0L, 2L, 
    NA, 1L, 1L, 0L, 3L, NA, 1L, 0L, 0L, 1L, NA, 0L, 0L, NA, 3L, 
    6L, NA, NA, NA, 1L, 0L, NA, 1L, 1L, NA, 1L, 1L, 0L, NA, 1L, 
    0L, 1L, NA, NA, NA, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, NA, NA, 
    NA, NA, NA, 1L, NA, 0L, NA, 1L, 1L, 0L, 1L, NA, 1L, 1L, NA, 
    2L, 1L, NA, NA, 2L, 0L, 1L, 1L, NA, 1L, NA, 1L, 1L, NA, 1L, 
    NA, 1L, 0L, 1L, NA, NA, 1L, NA, 1L, NA, NA, NA, 1L, 1L, 1L, 
    NA, 0L, NA, 1L, 1L, NA, 1L, NA, 1L, NA, 1L, NA, NA, 1L, 2L, 
    1L, NA, NA, 0L, 0L, NA, NA, 1L, 0L, 1L, 1L, NA, 1L, 1L, 1L, 
    NA, 1L, 9L, 0L, NA, 1L, 3L, NA, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, NA, NA, 1L, 0L, NA, NA, 1L, 1L, 0L, 2L, NA, NA, 1L, 
    NA, 5L, 1L, 1L, 1L, NA, 1L, 0L, 1L, NA, 1L, NA, 1L, 0L, 1L, 
    1L), SameSex = structure(c(1L, 1L, 1L, 1L, 1L, NA, NA, 1L, 
    1L, NA, 1L, 1L, 1L, 1L, NA, 1L, 1L, NA, 2L, 1L, NA, NA, NA, 
    1L, 1L, 1L, NA, NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 
    NA, 1L, 1L, NA, NA, NA, 1L, 1L, NA, NA, NA, NA, 1L, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, NA, NA, NA, NA, 
    NA, NA, 1L, NA, NA, 1L, 1L, NA, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 
    1L, 2L, 1L, NA, 1L, 1L, 1L, NA, 2L, NA, 1L, 1L, 2L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, NA, 1L, 1L, 
    1L, NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, NA, 1L, 1L, NA, NA, 
    NA, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, NA, 1L, NA, 1L, NA, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, NA, 1L, 1L, 2L, 1L, 1L, 
    1L, NA, 1L, NA, NA, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, NA, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, NA, 1L, 1L, 1L, NA, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 
    1L, NA, 2L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 
    NA, 1L, 1L, NA, 1L, 1L, NA, 1L, 1L, 1L, 1L, 1L, NA, NA, 1L, 
    1L, NA, 1L, 1L, NA, NA, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 
    1L, NA, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, NA, NA, 1L, 1L, 1L, 
    1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 
    1L, NA, 1L, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 
    1L, 1L, 1L, 2L, 2L, 1L, NA, 1L, 1L, 1L, 1L, 1L, NA, NA, NA, 
    2L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, NA, NA, 
    NA, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L, NA, NA, NA, NA, NA, 2L, 
    NA, 1L, NA, 1L, 1L, 1L, 1L, NA, 1L, 2L, NA, 1L, 1L, 1L, NA, 
    1L, 1L, 1L, 1L, NA, 1L, NA, 1L, 1L, NA, 2L, NA, 1L, 1L, 1L, 
    NA, NA, 1L, NA, 1L, 1L, NA, NA, 1L, 1L, 1L, NA, 1L, NA, 1L, 
    1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, 1L, 1L, 1L, NA, NA, 1L, 
    1L, NA, NA, 1L, 1L, 1L, 2L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 1L, NA, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, NA, 1L, 1L, 1L, 
    1L, NA, 1L, 1L, 1L, 1L, 1L, NA, 1L, 1L, 1L, 1L), .Label = c("No", 
    "Yes"), class = "factor"), SexOrientation = structure(c(2L, 
    2L, 2L, 2L, 2L, NA, NA, 2L, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, 
    NA, NA, NA, NA, NA, NA, NA, 2L, NA, NA, NA, NA, 2L, NA, NA, 
    2L, NA, 2L, 2L, NA, 2L, NA, NA, 2L, 2L, 2L, 2L, NA, 2L, 2L, 
    2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, NA, NA, NA, NA, 2L, 2L, 
    NA, NA, NA, NA, 2L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 
    2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, 2L, NA, 
    2L, 2L, 2L, 2L, 3L, NA, 2L, 2L, 2L, 2L, NA, 2L, NA, 2L, NA, 
    1L, NA, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, NA, 2L, 
    NA, 2L, 2L, 2L, NA, 2L, NA, NA, NA, 2L, 2L, NA, 2L, NA, 2L, 
    2L, 2L, NA, 2L, 2L, NA, NA, NA, 2L, NA, 2L, NA, 2L, NA, 2L, 
    NA, 2L, NA, 2L, NA, NA, NA, 2L, NA, NA, 2L, 2L, 2L, 2L, 3L, 
    2L, NA, 2L, 2L, 1L, 2L, 2L, 2L, NA, 2L, NA, NA, 2L, 2L, NA, 
    2L, NA, NA, 2L, 2L, 2L, NA, 2L, 2L, 2L, NA, NA, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, NA, 
    2L, 2L, 2L, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, NA, 2L, NA, 
    2L, 2L, NA, 2L, NA, 2L, 2L, 2L, NA, NA, 2L, NA, NA, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, NA, 2L, NA, NA, 
    2L, NA, 2L, 2L, 2L, NA, 2L, NA, 2L, 2L, NA, 2L, 2L, NA, NA, 
    2L, 2L, 2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, NA, NA, NA, NA, 
    NA, 2L, 2L, NA, 2L, 2L, NA, 2L, NA, 2L, 2L, 3L, 2L, 3L, NA, 
    2L, 2L, NA, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, 2L, 2L, 
    NA, NA, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, 2L, NA, 2L, NA, 2L, 
    2L, 2L, NA, NA, 2L, 2L, 2L, 2L, NA, 2L, 3L, 3L, 2L, NA, 2L, 
    2L, NA, 2L, 2L, NA, NA, NA, 2L, NA, NA, 2L, 2L, NA, 2L, 2L, 
    2L, NA, 2L, 2L, 2L, NA, NA, NA, 2L, 2L, NA, NA, 2L, NA, 2L, 
    2L, NA, NA, NA, NA, NA, 1L, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, 
    2L, 2L, NA, 2L, 2L, NA, NA, 2L, 2L, 2L, 2L, NA, 2L, NA, 2L, 
    2L, NA, 2L, NA, 2L, 2L, 2L, NA, NA, 2L, NA, 2L, NA, NA, NA, 
    2L, 2L, 2L, NA, 2L, NA, 2L, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 
    NA, 2L, 2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, 2L, 2L, NA, NA, 
    NA, 2L, 2L, NA, 2L, 2L, 2L, NA, 2L, 2L, NA, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, NA, NA, 2L, 2L, NA, NA, 2L, 2L, 2L, 2L, 
    NA, NA, 2L, NA, 2L, 2L, 2L, 2L, NA, 2L, 2L, 2L, NA, 2L, NA, 
    1L, 2L, 2L, 2L), .Label = c("Bisexual", "Heterosexual", "Homosexual"
    ), class = "factor"), PregnantNow = structure(c(NA, NA, NA, 
    NA, NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, 3L, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, NA, 
    NA, 2L, NA, NA, NA, NA, NA, 2L, NA, 2L, NA, NA, NA, NA, 2L, 
    NA, NA, NA, 2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, 
    NA, NA, NA, 2L, 3L, 2L, NA, NA, NA, 2L, NA, NA, NA, 2L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, 2L, NA, NA, NA, 2L, 
    2L, NA, 2L, NA, 2L, NA, NA, NA, 2L, 2L, NA, NA, NA, 2L, NA, 
    2L, NA, 2L, NA, NA, NA, NA, NA, 1L, NA, NA, NA, NA, 2L, 2L, 
    NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, 2L, NA, 2L, 2L, NA, 
    NA, NA, NA, 2L, NA, NA, 2L, NA, NA, NA, NA, NA, 2L, NA, NA, 
    NA, NA, NA, NA, 2L, NA, NA, NA, 2L, 2L, NA, NA, NA, NA, NA, 
    NA, 2L, 2L, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, 2L, 2L, NA, NA, NA, NA, NA, NA, 2L, 2L, NA, NA, NA, 
    NA, NA, NA, 2L, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, 2L, NA, 
    NA, NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, 2L, NA, 2L, 2L, 
    NA, NA, NA, 2L, NA, 2L, NA, NA, NA, NA, NA, NA, 1L, 2L, NA, 
    NA, 2L, 2L, NA, 2L, NA, NA, NA, NA, NA, NA, 2L, NA, NA, NA, 
    NA, NA, NA, NA, 2L, NA, 2L, NA, NA, 2L, NA, 2L, NA, NA, NA, 
    NA, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 2L, NA, 2L, NA, NA, 2L, NA, NA, NA, NA, NA, 2L, 
    NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, 2L, NA, NA, NA, 2L, NA, NA, 2L, NA, NA, NA, 
    NA, NA, NA, NA, NA, 2L, NA, 2L, NA, 2L, NA, NA, NA, 2L, NA, 
    NA, NA, NA, 2L, NA, 2L, NA, NA, NA, NA, NA, NA, NA, 2L, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, NA, 3L, NA, NA, 
    NA, NA, NA, NA, NA, 2L, NA, NA, NA, NA, NA, NA, 2L, NA, NA, 
    NA, 2L, 2L, NA, NA, NA, NA, 2L, NA, NA, NA, NA, 3L, NA, NA, 
    2L, NA, NA, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2L, 
    NA, 2L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    2L, 2L, NA, NA, NA, NA, NA, NA, 2L, 2L, NA, NA, NA, 1L, NA, 
    NA, NA, 1L, NA, NA, NA, 2L, 2L, NA, NA, NA, 2L, NA, NA, NA, 
    NA, NA, NA, NA, NA, 1L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, 2L, NA, NA, NA, NA, NA, 2L, NA, NA, NA, 2L, NA, 
    2L, 2L), .Label = c("Yes", "No", "Unknown"), class = "factor")), row.names = c(5514L, 
7882L, 2619L, 8361L, 8725L, 4692L, 7646L, 8737L, 2699L, 2108L, 
2577L, 9448L, 1379L, 1428L, 7975L, 681L, 7677L, 4105L, 3079L, 
7049L, 3130L, 4972L, 9492L, 6260L, 4047L, 8958L, 6448L, 7833L, 
7592L, 8681L, 6744L, 7549L, 4053L, 921L, 133L, 9795L, 7205L, 
4322L, 3371L, 9136L, 7428L, 9372L, 5201L, 3772L, 1793L, 4123L, 
8370L, 7590L, 1885L, 5672L, 3229L, 6207L, 5162L, 7615L, 5572L, 
2511L, 5367L, 2333L, 8883L, 2735L, 9798L, 5638L, 8739L, 8678L, 
7733L, 5231L, 5395L, 633L, 3570L, 6292L, 9031L, 4155L, 713L, 
4149L, 9135L, 3366L, 7752L, 3356L, 482L, 5073L, 2058L, 6491L, 
6256L, 2427L, 2314L, 7200L, 3427L, 296L, 1810L, 7701L, 9106L, 
1835L, 9194L, 9233L, 4985L, 2839L, 3714L, 939L, 2204L, 9602L, 
6557L, 6165L, 3254L, 1945L, 7297L, 5182L, 1273L, 1861L, 1699L, 
2505L, 3093L, 6078L, 8123L, 7861L, 4019L, 4583L, 5973L, 1460L, 
3066L, 6297L, 4450L, 3271L, 240L, 9587L, 1308L, 7748L, 86L, 8495L, 
4473L, 7479L, 9568L, 4543L, 5978L, 4363L, 7137L, 1373L, 2112L, 
1918L, 5597L, 5748L, 1548L, 9883L, 1778L, 7786L, 9553L, 5772L, 
1838L, 143L, 9263L, 4407L, 2601L, 7242L, 3242L, 9885L, 225L, 
7809L, 4036L, 7508L, 2659L, 5648L, 1726L, 8518L, 165L, 6648L, 
4677L, 5192L, 3654L, 7846L, 2667L, 5674L, 6529L, 9159L, 6330L, 
5206L, 637L, 901L, 8664L, 7439L, 5545L, 3060L, 1450L, 8520L, 
8698L, 4998L, 8643L, 4833L, 2901L, 1038L, 4732L, 8124L, 6146L, 
2421L, 801L, 292L, 5647L, 7228L, 6391L, 80L, 8047L, 4737L, 5254L, 
586L, 4057L, 3731L, 8004L, 8576L, 5280L, 9278L, 9222L, 4052L, 
1767L, 9792L, 5442L, 8002L, 5977L, 5695L, 7169L, 1855L, 8529L, 
5999L, 9940L, 9915L, 226L, 8852L, 6627L, 7150L, 2639L, 3720L, 
8659L, 4547L, 5341L, 3995L, 9337L, 6762L, 3698L, 5560L, 665L, 
4302L, 6226L, 1676L, 3521L, 3337L, 8500L, 8896L, 620L, 9057L, 
5919L, 2329L, 2124L, 6218L, 8713L, 94L, 3058L, 9387L, 9320L, 
7455L, 3171L, 4966L, 5424L, 3506L, 8415L, 4421L, 1123L, 7989L, 
2300L, 7216L, 514L, 5125L, 8933L, 6272L, 3413L, 8280L, 471L, 
3829L, 903L, 2766L, 304L, 6182L, 9216L, 4344L, 8307L, 3725L, 
6458L, 634L, 391L, 7289L, 4433L, 5293L, 732L, 4039L, 2725L, 4364L, 
4026L, 6704L, 2519L, 8219L, 106L, 7736L, 4348L, 7548L, 7237L, 
9785L, 6680L, 8159L, 5328L, 6652L, 2340L, 3598L, 5154L, 4588L, 
185L, 5287L, 207L, 9445L, 2679L, 6326L, 4967L, 3873L, 5669L, 
7088L, 5868L, 1617L, 9284L, 7224L, 3248L, 6239L, 5536L, 6360L, 
479L, 9381L, 9580L, 495L, 2937L, 677L, 316L, 4912L, 7319L, 6556L, 
1349L, 3699L, 652L, 7735L, 2003L, 8457L, 1701L, 9712L, 9903L, 
3446L, 7756L, 3264L, 2895L, 5558L, 4800L, 272L, 159L, 3996L, 
8063L, 4107L, 7708L, 1798L, 3795L, 3690L, 6227L, 7966L, 1332L, 
3013L, 1644L, 1398L, 7116L, 2700L, 9976L, 2797L, 9872L, 8721L, 
1723L, 8472L, 3329L, 1279L, 5241L, 3351L, 121L, 7313L, 334L, 
4226L, 8822L, 3347L, 4389L, 5867L, 4457L, 2141L, 3560L, 6089L, 
5467L, 9617L, 1758L, 1363L, 4265L, 2382L, 7354L, 6403L, 6961L, 
8632L, 2701L, 8759L, 2312L, 6970L, 6216L, 3399L, 5705L, 4392L, 
3179L, 4851L, 2837L, 8666L, 6755L, 8987L, 5606L, 9377L, 3391L, 
3054L, 1170L, 6199L, 2313L, 9919L, 4751L, 5659L, 3307L, 7260L, 
9095L, 1532L, 3305L, 9047L, 7571L, 3355L, 7231L, 9272L, 1523L, 
9698L, 425L, 6511L, 5587L, 3910L, 282L, 8294L, 4229L, 1837L, 
8618L, 4812L, 4680L, 236L, 604L, 2140L, 5910L, 140L, 5435L, 6785L, 
1025L, 3216L, 7905L, 1626L, 9342L, 2005L, 8399L, 1194L, 7859L, 
3991L, 7538L, 4665L, 6895L, 5392L, 6390L, 3623L, 8270L, 1619L, 
5492L, 5378L, 7454L, 550L, 8452L, 1766L, 9596L, 392L, 247L, 5557L, 
3199L, 1687L, 9021L, 6052L, 4318L, 432L, 3787L, 2732L, 2995L, 
565L, 2980L, 1192L, 7184L, 5452L, 5091L, 1178L), class = c("tbl_df", 
"tbl", "data.frame"))
