Jeff Newmiller <jdnew...@dcn.davis.ca.us> writes: > Using I() in the data.frame seems ill-advised to me. You complain about 96 > variables but from reading your explanation that seems to be what your data > are.
In PSLR, it is common to regress a variable against matrices with very many coloumns, often several thousands. Using a data frame with one predictor variable for each coloumn is going to make the formula handling very slow. And if you have several such predictor matrices, it is very practical to keep them as single variables in the data frame, so you easily can select/deselect which groups of variables you want in the model. -- Regards, Bjørn-Helge Mevik ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
