Why Model II Regression? My experience is that for purposes of prediction, the difference between Model I and Model II fits can be quite significant, mostly, of course, near the extremes of the predictor variable(s). There are several approaches and most give pretty similar model parameters but modest slope differences can matter significantly. In my field of biology, error free predictors are the exception, not the rule.
MCG -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Dylan Beaudette Sent: Friday, August 29, 2008 1:44 PM To: r-help@r-project.org Cc: Mark Difford Subject: Re: [R] model II regression - how do I do it? On Friday 29 August 2008, Mark Difford wrote: > Hi Danilo, > > >> I need to do a model II linear regression, but I could not find out > >> how!! > > The smatr package does so-called model II (major axis) regression. > > Regards, Mark. While this topic is fresh, are there any compelling reasons to use Model II regression? Cheers, Dylan -- Dylan Beaudette Soil Resource Laboratory http://casoilresource.lawr.ucdavis.edu/ University of California at Davis 530.754.7341 ______________________________________________ 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.
