[R] geometric mean regression

[Michael Grant]

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

--- Kjetil Brinchmann Halvorsen <kjetil at acelerate.com>
wrote:

> 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
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> -- 
> 
> Kjetil Halvorsen.
> 
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