Disclaimer first: I only heard about R fairly recently, so I apologize if this is either a simple or impossible request, but R looked like it might be a good framework for this sort of thing...
Is it possible to write a script to run stepwise multinomial regressions on many *dependent* variables, and then compare results to a validation data set (e.g., Chow test)? Essentially, automate the process of finding best predictive model using a host of dependent and independent variables. I have a fairly short timeframe to work on this, so if someone is willing to help me in the next couple of days, I would be most appreciative. (And there might even be a hefty sum of cash involved!) Thanks, Daniel ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
