Well, the help page for the loess function says that the formula can include up to 4 predictor variables. There are also additive models (mgcv or gam (or other) package).
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Guy Green > Sent: Monday, February 22, 2010 5:47 AM > To: r-help@r-project.org > Subject: [R] Alternatives to linear regression with multiple variables > > > I wonder if someone can give some pointers on alternatives to linear > regression (e.g. Loess) when dealing with multiple variables. > > Taking any simple table with three variables, you can very easily get > the > intercept and coefficients with: > summary(lm(read_table)) > > For obvious reasons, the coefficients in a multiple regression are > quite > different from what you get if you calculate regressions for the single > variables separately. Alternative approaches such as Loess seem > straightforward when you have only one variable, and have the advantage > that > they can cope even if the relationship is not linear. > > My question is: how can you extend a flexible approach like Loess to a > multi-variable scenario? I assume that any non-parametric calculation > becomes very resource-intensive very quickly. Can anyone suggest > alternatives (preferably R-based) that cope with multiple variables, > even > when the relationship (linear, etc) is not known in advance? > > Thanks, > > Guy > -- > View this message in context: http://n4.nabble.com/Alternatives-to- > linear-regression-with-multiple-variables-tp1564370p1564370.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
