Gavin Simpson <[EMAIL PROTECTED]> writes: > You can do this another way though, that I feel is more natural. So lets > assume that your data frame contains columns that are named, and that > one of these is the response variable, the remaining columns are the > predictors. Further assume that this response is called 'myresp', then > you can proceed by the following: > > cancerv1.pcr <- pcr(myresp ~ . , ncomp = 6, data = cancerv1, > validation = "CV")
This works fine as long as the number of (predictor) variables is not too large. With many variables (>> 1000), R will spend a very long time dealing with the formula. -- Bjørn-Helge Mevik ______________________________________________ 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.
