I'm running an R script to do a confirmatory factor analysis on my data but I end up with the error Error: cannot allocate vector of size 56 Kb. Is there a problem with my script or the problem is related to my system resources. This is about a questionnaire with 80 items and 5 factors. Here's the code.
library(sem)
mydata.girls=read.table('data-girls.txt',nrow=150)
mydata.girls.cov=cov(mydata.girls)
model.mydata.girls <- specifyModel()
F1->V1,lam1,.48
F1->V3,lam3,.53
F1->V5,lam5,.48
F1->V14,lam14,.46
F1->V15,lam15,.57
F1->V19,lam19,.47
F1->V24,lam24,.61
F1->V28,lam28,.56
F1->V29,lam29,.54
F1->V31,lam31,.62
F1->V38,lam38,.44
F1->V40,lam40,.60
F1->V42,lam42,.43
F1->V44,lam44,.55
F1->V46,lam46,.44
F1->V48,lam48,.68
F1->V54,lam54,.53
F1->V63,lam63,.49
F1->V64,lam64,.53
F1->V65,lam65,.58
F1->V66,lam66,.53
F1->V69,lam69,.42
F1->V80,lam80,.45
F2->V6,lam6,.62
F2->V9,lam9,.47
F2->V13,lam13,.43
F2->V17,lam17,.47
F2->V36,lam36,.51
F2->V37,lam37,.61
F2->V45,lam45,.69
F2->V49,lam49,.58
F2->V53,lam53,.61
F2->V56,lam56,.58
F2->V57,lam57,.63
F2->V60,lam60,.61
F2->V62,lam62,.61
F2->V67,lam67,.57
F2->V68,lam68,.55
F2->V71,lam71,.62
F2->V74,lam74,.49
F2->V75,lam75,.72
F3->V4,lam4,.63
F3->V7,lam7,.52
F3->V11,lam11,.66
F3->V18,lam18,.64
F3->V25,lam25,.64
F3->V30,lam30,.63
F3->V32,lam32,.67
F3->V33,lam33,.56
F3->V35,lam35,.56
F3->V39,lam39,.49
F3->V43,lam43,.56
F3->V47,lam47,.54
F3->V50,lam50,.62
F3->V52,lam52,.55
F3->V77,lam77,.60
F3->V78,lam78,.56
F3->V79,lam79,.67
F4->V10,lam10,.59
F4->V20,lam20,.70
F4->V23,lam23,.48
F4->V26,lam26,.78
F4->V34,lam34,.72
F4->V41,lam41,.72
F4->V58,lam58,.73
F4->V59,lam59,.70
F4->V70,lam70,.69
F4->V72,lam72,.78
F4->V73,lam73,.48
F4->V76,lam76,.72
F5->V8,lam8,.73
F5->V21,lam21,.74
F5->V22,lam22,.63
F5->V51,lam51,.56
V1<->V1,e1,NA
V2<->V2,e2,NA
V3<->V3,e3,NA
V4<->V4,e4,NA
V5<->V5,e5,NA
V6<->V6,e6,NA
V7<->V7,e7,NA
V8<->V8,e8,NA
V9<->V9,e9,NA
V10<->V10,e10,NA
V11<->V11,e11,NA
V12<->V12,e12,NA
V13<->V13,e13,NA
V14<->V14,e14,NA
V15<->V15,e15,NA
V16<->V16,e16,NA
V17<->V17,e17,NA
V18<->V18,e18,NA
V19<->V19,e19,NA
V20<->V20,e20,NA
V21<->V21,e21,NA
V22<->V22,e22,NA
V23<->V23,e23,NA
V24<->V24,e24,NA
V25<->V25,e25,NA
V26<->V26,e26,NA
V27<->V27,e27,NA
V28<->V28,e28,NA
V29<->V29,e29,NA
V30<->V30,e30,NA
V31<->V31,e31,NA
V32<->V32,e32,NA
V33<->V33,e33,NA
V34<->V34,e34,NA
V35<->V35,e35,NA
V36<->V36,e36,NA
V37<->V37,e37,NA
V38<->V38,e38,NA
V39<->V39,e39,NA
V40<->V40,e40,NA
V41<->V41,e41,NA
V42<->V42,e42,NA
V43<->V43,e43,NA
V44<->V44,e44,NA
V45<->V45,e45,NA
V46<->V46,e46,NA
V47<->V47,e47,NA
V48<->V48,e48,NA
V49<->V49,e49,NA
V50<->V50,e50,NA
V51<->V51,e51,NA
V52<->V52,e52,NA
V53<->V53,e53,NA
V54<->V54,e54,NA
V55<->V55,e55,NA
V56<->V56,e56,NA
V57<->V57,e57,NA
V58<->V58,e58,NA
V59<->V59,e59,NA
V60<->V60,e60,NA
V61<->V61,e61,NA
V62<->V62,e62,NA
V63<->V63,e63,NA
V64<->V64,e64,NA
V65<->V65,e65,NA
V66<->V66,e66,NA
V67<->V67,e67,NA
V68<->V68,e68,NA
V69<->V69,e69,NA
V70<->V70,e70,NA
V71<->V71,e71,NA
V72<->V72,e72,NA
V73<->V73,e73,NA
V74<->V74,e74,NA
V75<->V75,e75,NA
V76<->V76,e76,NA
V77<->V77,e77,NA
V78<->V78,e78,NA
V79<->V79,e79,NA
V80<->V80,e80,NA
F1<->F1,NA,1
F2<->F2,NA,1
F3<->F3,NA,1
F4<->F4,NA,1
F5<->F5,NA,1
F1<->F2,F1F2,0.69
F1<->F3,F1F3,0.67
F1<->F4,F1F4,0.61
F1<->F5,F1F5,0.57
F2<->F3,F2F3,0.74
F2<->F4,F2F4,0.54
F2<->F5,F2F5,0.47
F3<->F4,F3F4,0.60
F3<->F5,F3F5,0.52
F4<->F5,F4F5,0.69
mydata.girls.sem <- sem(model.mydata.girls, mydata.girls.cov, nrow(mydata.girls))
summary (mydata.girls.sem)
std.coef(mydata.girls.sem)
