[R] regression tree robustness
Clayton Springer
csprin at brandybuck.ca.sandia.gov
Thu May 2 20:08:06 CEST 2002
Bill Venables suggestes:
> The problem, such as it is, is not with rpart but with your model. You
> might try a transformation of y, for example, and see if you get anything
> more useful to you. With a transformed response the least squares fitting
> procedure might be more reasonable and productive.
Is there robust alternative to least squares fitting that could applied instead?
--Clayton
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
More information about the R-help
mailing list