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

[Michael Grant]

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: 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

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