On Fri, Aug 29, 2008 at 2:01 PM, Michael Grant <[EMAIL PROTECTED]> wrote: > 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 >
Thanks for the comments. As usual all this has happened before (and will probably happen again): http://tolstoy.newcastle.edu.au/R/help/05/06/5992.html Cheers, Dylan > -----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.