[R-sig-eco] how-to identify redundant predictors
C Hess
13184 at stud.leuphana.de
Sat Apr 21 11:02:25 CEST 2012
dear list,
my actual task in the process of fitting an lme()-model is to identify
and remove redundant predictors before using them as fixed effects.
to get an overview and pick a group of final predictors i use the
correlation-coefficients cor() and a pca prcomp()
trying and testing seems an essential way in the process of model
fitting, but maybe there is another way/method to get a list of
predictors in a more structured way like: this are the top 5 predictors
with the fewest correlation, or something else
thanks
CH
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