[R] Recursive partitioning with multicollinear variables

[Jean-Noel]

Dear all,
I would like to perform a regression tree analysis on a dataset with
multicollinear variables (as climate variables often are). The questions
that I am asking are:
 1- Is there any particular statistical problem in using multicollinear
variables in a regression tree?
 2- Multicollinear variables should appear as alternate splits. Would it be
more accurate to present these alternate splits in the results of the
analysis or apply a variable selection or reduction procedure before the
regression tree?
Thank you in advance,

Jean-Noel Candau

INRA - Unité de Recherches Forestières Méditerranéennes
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84000 AVIGNON
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