Hi All, In another thread Andy Liaw, who CRAN lists as locfit maintainer; said: <quote> From: "Liaw, Andy" <andy_l...@merck.com> To: "Guy Green" <guygr...@netvigator.com>; <r-help@r-project.org> Subject: Re: Alternatives to linear regression with multiple variables Date: 22 February 2010 17:50
You can try the locfit package, which I believe can handle up to 5 variables. E.g., </quote> Looking in the locfit documentation (e.g. http://www.stats.bris.ac.uk/R/web/packages/locfit/locfit.pdf) I can't see an upper limit on the number of predictors; if it is 5 I'm getting close in one of my applications. Can anyone confirm or deny the existence of a 'crisp' upper limit on the number of predictors in locfit? If it is 5, or thereabouts, can anyone suggest an alternative which can handle a few more? (I'm using it for multidimensional interpolation). Best regards, Keith Jewell ______________________________________________ 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.
