Thank you very much for your reply. I found the information on your home page very useful.
What I want to do is a PLS regression of a data set with 60 features for calibration purposes. In order to optimize the performance of the calibration I have to find out what features to use in the PLS regression. Although this is what PLS-regression does but I found some articles (R. Leardi, "Genetic algorithms applied to feature selection in PLS regression: how and when to use them", Chemometrics and Intelligent Laboratory Systems 41 (1998) 195-207) that claim that a genetic optimization algorithm applied to feature selection could further improve the calibration. I found Python code that does exactly this but although I'm much more experienced in programming in Python I think it's probably better to use R for this task. So I'm going to implement the genetic algorithm described in the papers by Leardi in R. Regards Rolf Patrick Burns wrote: > I don't know what you are trying to do exactly, but > in case you don't find anything pre-built there is the > 'Rgenoud' package for genetic optimization and also > the 'genopt' function that you can get from S Poetry. > > > Patrick Burns > [EMAIL PROTECTED] > +44 (0)20 8525 0696 > http://www.burns-stat.com > (home of S Poetry and "A Guide for the Unwilling S User") > > Rolf Wester wrote: > >> Hi, >> >> I'm looking for a R-package that does feature selection for PLS using >> a genetic optimization algorithm. >> I couldn't find one on CRAN and I wonder whether there is a free one. >> I would be very appreciative for any help. >> >> Regards >> >> Rolf >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >> >> >> > > -- ------------------------------------ # Dr. Rolf Wester # Fraunhofer Institut f. Lasertechnik # Steinbachstrasse 15, D-52074 Aachen, Germany. # Tel: + 49 (0) 241 8906 401, Fax: +49 (0) 241 8906 121 # EMail: [EMAIL PROTECTED] # WWW: http://www.ilt.fraunhofer.de ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
