> Date: Wed, 09 Feb 2000 10:11:20 -0500
> From: "Pete St. Onge" <pete at seul.org>
> Subject: Comparing Type 2 regressions Was: [R] Ancova in R?
>
> For starters, thanks to everyone who responsded to my previous request for
> help about Type 2 regression.
>
> > > I see the R-sm has the ancova thing happening, but I kind of
doubt that
> > > what I'm trying to do is "smoothing"...
> >
> > And what is R-sm? An obscure reference to the sm package on CRAN,
> > perhaps? There is a function sm.ancova in that package, and that
> > compares a set of nonparametric regression curves.
>
> To follow this up with the other thread, is there a way to compare two or
> more lines based on Type 2 regression techniques (or lines based on the 1st
> principal component) to see if they are significantly different from each
> other with respect to their slopes and intercepts?
Well, that has nothing to do with sm.ancova, and it is quoting me without
due credit!
> This is not a subject that I've seen dealt with in any of the stats
books
> that I've read, and pointers to other references that do would be
> appreciated.
Once again. W.A. Fuller (1977), Measurement Error Models, has the
appropriate theory.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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