Re: [R] geometric mean regression

From: Michael Grant <mwgrant2001_at_yahoo.com>
Date: Sat 04 Jun 2005 - 06:52:54 EST

I presume the reference is to the 'geometric mean functional regression' or the 'line of organic correlation' or 'reduced major axis regression'. If so, this is relatively easy alsmost trivial to implement in R. Maybe it's in a package, but I never looked. I worked from Helsel's description in his classic water resources statistics book. See Chapter 10 here:

http://water.usgs.gov/pubs/twri/twri4a3/

Now, if you are after confidence intervals or prediction intervals, I haven't found anything on that yet. Seems that I did something a couple of year ago by hacking some approximate residuals using the LOC line and the data, and then feeding that into the CL and PL equations for OLS. (Be advised that I'm not a statistician and did that in the spirit of approximation--who knows? :O) )

By coincidence I've been looking at this again recently. Maybe bootstrapping....

Regards,
Michael Grant

> Poizot Emmanuel wrote:
>
> > Hi,
> >
> > is it possible to perform a geometric mean
> regression with R ?
> > Thanks.
> >
> As has been said on this list before, "This is R,
> there is no if, only
> how",
>
> but if you actually wanted to ask how it is
> possible, it would help if
> you explained what is "geometric mean regression".
>
> Kjetil
>
> > ------------------------------------------------
> > Emmanuel Poizot
> > Cnam/Intechmer
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Jun 04 06:57:01 2005

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