I suppose neural nets (e.g., in the nnet package, part of the VR bundle) sort of fits that description: It has been shown to have the "universal approximator" property. Read MASS4, or Pattern Recognition and Neural Networks (Ripley, 1996) for details. I don't know of anything as automated as you seem to want, but I can say that if there's one, I wouldn't trust it. There's no Free Lunch after all. Andy From: Michael> > Hi all, > > Looking at my data, I decided to try exploring regression > models. Is there a function in R that allows me to > automatically explore the universe of (almost all) the > possible regression models? > > Do general additive models belong to the category of > regression models? Is there a function in R includes all of > these and does model selection? > > Thanks a lot! > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > >