regression with carret

Hello!

I am working with a stepwise model with caret package

fitControl <- trainControl(
  method = "boot",
  number = 100)


step.model2carret <- train(ScoreF2 ~ Country + Dem3_PregfactorHCV + ageCutFHVC + employ1factor + studylevel1factor + Maritalstatus1factor + modevie1factor + origin1factor + 
                             sexualorientation1factor + alcohol1factor + cigarret1factor + cocaine1factor + viagra1factor + otherdrugs1factor + osexestimulants1factor + CVdisease1factor + diabetes1factor +
                             depression1factor + psyquiatricdiseasefactor1 + actualdepression1factor + anhedonia1factor + BACTRIM1factor + antidepressive1factor + anticholesterol1factor + VHB1factor +
                             HIV1factor + HCVtrans1factor + followupHCVfactor + yearsdgHCVcat, data = completedData_F2, 
                           method = "lmStepAIC", 
                           trControl = fitControl,
                           verbose = FALSE) 

but when I obtain the results, it doesn't give me a shorter model with less variables, which I need for doing a mixed linear model.

Can you help me please?

thank you

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.