Dear colleagues, Please point me out to a variable selection approach or package in the R environment. I am particularly interesting in evolutionary/genetic algorithms for optimization of PLS and SVM models.
--- My knowledge is limited by the follows packages: Package "Subselect" does not seem to be valid, because it handles with the correlation/covariance matrix only. Therefore, is it applicable to linear models (am I right?). Can it be used for the non-linear learning approaches? What is its area of application? Package "gafit" can optimize only continuous parameters in a function, but not the feature selection. --- I will be glad for any recommendations. Thank you very much. Sokratis Alikhanidi. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
