Before you do that, you might try reading this paper: Bring, J. 1995. Variable importance by partitioning R^2. Quality and Quantity 29:173-189.
Cheers, Simon. Andrew Robinson wrote: > Rupendra, > > depending on the nature of your data (which you haven't mentioned), > you might try hierarchical partitioning, as found in the hier.part > package on CRAN. > > Cheers > > Andrew > > On Wed, Jan 17, 2007 at 11:07:18AM +0545, Rupendra Chulyadyo wrote: >> Hello all, >> >> I want to assign relative score to the predictor variables on the basis of >> its influence on the dependent variable. But I could not find any standard >> statistical approach appropriate for this purpose. >> Please suggest the possible approaches. >> >> Thanks in advance, >> >> Rupendra Chulyadyo >> Institute of Engineering, >> Tribhuvan University, >> Nepal >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@stat.math.ethz.ch 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. > -- Simon Blomberg, B.Sc.(Hons.), Ph.D, M.App.Stat. Centre for Resource and Environmental Studies The Australian National University Canberra ACT 0200 Australia T: +61 2 6125 7800 email: Simon.Blomberg_at_anu.edu.au F: +61 2 6125 0757 CRICOS Provider # 00120C The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. - John Tukey. ______________________________________________ R-help@stat.math.ethz.ch 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.