Hi, On Thu, Jan 7, 2010 at 11:57 AM, 江文恺 <biology0...@hotmail.com> wrote: > > Dear all: > > I try to analyse a dataset which contain one binary response variable and > serveral predict variables, but multiple colinear problem exists in my > dataset, some paper suggest that logistic regression for principle components > is suit for these noise data, > but i only find R can done principle component regression using "pls" package, > is there any package that can do the task i need - logistic regression based > on principle components, > if not, can anyone give some suggestion about how to use R to do my work.
Is this any different than first doing PCA to do the dimensionality reduction (which presumably will take care of your colinearity), then doing the logistic regression on your reduced input space? If so: no package is really necessary, right? It's just a two-step solution you need to write up. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ 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.
