Hi, I'm trying to use "stepclass" to do a stepwise variable selection with method=lda. I keep getting this warning message, which shows up once for each variable added to the model during variable selection:
Warning message: error(s) in modeling/prediction step in: cv.rate(vars = c(model, tryvar), data = data, grouping = grouping, I don't know how to interpret this warning. I do not have a separate data set for cross validation. Is this important, or will "stepclass" do leave-one-out cross-validation in the absence of other cross-validation data? Also, when I run "stepclass" several times with identical parameters, it will give me a slightly different "best" model each time. It seems to me that it should always return the same model, as long as the dataset and call are the same. Am I missing something? Is there some randomization going on behind the scenes that I'm unaware of? Thanks in advance, Neil Losin -- _____ Neil Losin UCLA Dept. of Ecology and Evolutionary Biology [EMAIL PROTECTED] and Neil Losin Nature Photography http://www.neillosin.com ______________________________________________ [email protected] 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.
