Your data set has 217 predictors and 166 samples. If you read the vignette on feature selection for this package, you'll see that the default ranking mechanism that it uses for linear models requires a linear model fit. The note that:
> prediction from a rank-deficient fit may be misleading should tell you something. If it doesn't: the model fit is over determined and there is no unique solution, so many of the parameter estimates are NA. Either create a modified version of lmFuncs that suits your needs or remove variables prior to modeling (or try some other method that doesn't require more samples than predictors, such as the lasso or elasticnet). Max On Fri, Jan 1, 2010 at 10:14 PM, bbslover <dlu...@yeah.net> wrote: > > I am learning the package "caret", after I do the "rfe" function, I get the > error ,as follows: > > Error in `[.data.frame`(x, , retained, drop = FALSE) : > undefined columns selected > In addition: Warning message: > In predict.lm(object, x) : > prediction from a rank-deficient fit may be misleading > > > I try to that manual example, that is good, my data is wrong. I do not know > what reanson? > > my code is : > > subsets<-c(1:5,10,15,20,25) > ctrl<-rfeControl(functions=lmFuncs, method = "cv", > verbose=FALSE,returnResamp="final") > lmProfile<-rfe(trainDescr,trainY,sizes=subsets,rfeControl=ctrl) > > before it, I have do some pre-process and my data is in the attachment. > > Please help me. thank you! > > kevin http://n4.nabble.com/file/n996068/trainDescr.txt trainDescr.txt > http://n4.nabble.com/file/n996068/trainY.txt trainY.txt > -- > View this message in context: > http://n4.nabble.com/Please-help-me-Error-in-data-frame-x-retained-drop-FALSE-undefined-columns-selected-tp996068p996068.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Max ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
