Re: [R] logistic regression based on principle component analysis

y School of Medicine 261 Mack Blvd Detroit, MI 48201 Email: aa3...@wayne.edu Email: srmil...@yahoo.com Tel: 313-993-8085 Fax: 313-966-7682 --- On Thu, 1/7/10, Kjetil Halvorsen wrote: > From: Kjetil Halvorsen > Subject: Re: [R] logistic regression based on principle component analysi

Re: [R] logistic regression based on principle component analysis

for an alternative (lasso) approach, look at the packages (CRAN) grpreg, grplasso, glmnet, penalized and certainly some others. Kjetil B H On Thu, Jan 7, 2010 at 2:06 PM, Steve Lianoglou wrote: > Hi, > > On Thu, Jan 7, 2010 at 11:57 AM, 江文恺 wrote: >> >> Dear all: >> >> I try to analyse a datas

Re: [R] logistic regression based on principle component analysis

Hi, On Thu, Jan 7, 2010 at 11:57 AM, 江文恺 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 >

[R] logistic regression based on principle component analysis

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 prin