Look at the package chemometrics, it can certainly handle your number of variables (p > n is what that's called and it requires special considerations). I don't recall about missing values. The authors of that package also have a very helpful text. Good Luck. Bryan
On Jul 14, 2013, at 10:50 PM, kiran subedi <keas...@gmail.com> wrote: > Hi, > I am a researcher in chemistry. I have to do pls-da for some of my samples. > The number of variables for my sample is 4000 . The categorical variable > has two classes. Some of the values are missing (cant find out). > I s there any package for R (or any illustration that would be helpful) to > perform PLS-DA in R by ignoring the missing values. > > > Thank you > kiran > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.
