[R] Orthogonal Distance Regressions

[Berton Gunter]

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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