search for: lmprofile

...<- c("AL","GA","FL") dummy <- model.matrix(~State,x) z <- cbind(dummy, x) #remove State category variable w <- z[,c(-4)] subsets <- c(2:8) ctrl<- rfeControl(functions = lmFuncs, method="cv", verbose=FALSE, returnResamp = "final") lmProfile <- rfe(w, y, sizes = subsets, rfeControl = ctrl) Returns: 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 When I remove the dummy variables th...

...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 th...

On a Unix machine I ran caret::rfe using the multicore package, and I saved the resulting object using save(lm2, file = "lm2.RData"). [Reproducible example below.] When I try to load("lm2.RData") on my Windows laptop, I get Error in loadNamespace(name) : there is no package called 'multicore' I completely understand the error and I would like to ignore it and