[R] model II regression - how do I do it?

Dylan Beaudette dylan.beaudette at gmail.com
Sat Aug 30 00:10:37 CEST 2008


On Fri, Aug 29, 2008 at 2:01 PM, Michael Grant
<Michael.Grant at colorado.edu> 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: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of Dylan Beaudette
> Sent: Friday, August 29, 2008 1:44 PM
> To: r-help at 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 at 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.
>



More information about the R-help mailing list