Both polr and multinom are part of the support software for a book. That book covers your question. Please read it, as you were asked to do.
On Thu, 28 Oct 2004, Schmidt.Matthias (FORST) wrote: > I am searching for methods to compare regression models with an ordered > categorical response variable (polr versus multinom). > The pattern of predictions of both methods (using the same predictor > variables) is quite different and the AIC is smaller for the multinom > approach. I guess polr has more strict premises for the structure of the > response variable, which methods can be used to test for these premises. If > the AIC is smaller for the multinom approach is this approach more > appropriate in every case? > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html `If the function is from a package accompanying a book, e.g., the MASS package, consult the book before posting.' -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
