[R] model parameters: independent enough?
Dylan Beaudette
dylan.beaudette at gmail.com
Wed Jan 30 18:20:21 CET 2008
Hi,
Is there a good approach to working with multiple predictors in a linear model
which are in some ways related? In other words, is there a procedure, test,
or general rule for determining if predictor variables are "independent
enough"?
An example from soil science could be the notion of sand, silt and clay
fractions- all adding to 100% In many cases both sand and clay content are
useful predictors, however they are "linked" through their relationship with
the remaining silt fraction (always adding to 100%). Although there is a
zero-sum relationship between these three fractions, a single fraction rarely
dominates the others.
would range of cor(sand, clay) give me reason to through out one of them as a
predictor in a linear model?
thanks in advance,
--
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
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