I think you want principal components analysis. Google on this and ?prcomp
in R for more details.
-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
"The business of the statistician is to catalyze the scientific learning
process." - George E. P. Box
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Peter J. Hernes
> Sent: Thursday, July 07, 2005 12:42 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Orthogonal Distance Regressions
>
>
> Hi,
>
> I work with environmental data and want to determine
> correlations between
> variables that either have no "dependent/independent"
> relationship or the
> relationship is unknown. Therefore I prefer to use
> orthogonal distance
> regression (orthogonal linear regression, perpendicular sum
> of squares,
> etc.). I am trying to get set up to do this in R, but the various
> terminologies are making it challenging for me to determine
> whether this
> capability exists in the base packages (it doesn't look like
> it to me) or
> which other package I should download to do this. Searching
> the R website
> for any of the three terminologies above has not given me any obvious
> solutions. I would appreciate any assistance from folks with
> experience
> doing this type of regression. Thanks in advance!
>
> Peter
>
>
> Peter J. Hernes, Ph.D.
> Land, Air and Water Resources - Hydrology
> University of California
> One Shields Avenue
> Davis, CA 95616-8628
> Tel: 530-752-7827
> Fax: 530-752-5262
> E-mail: pjhernes at ucdavis.edu
> Faculty webpage: http://lawr.ucdavis.edu/faculty/hernes/
>
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