You don't say what model you want to do. It isn't necessary to store each combination of predictors in a separate matrix unless you really need to do this for some other reason, in which case I imagine you could adopt this idea. I dare say there are better ways, but this should work (assuming you want a linear model):
x<-matrix(runif(30*6),ncol=6) y <- rnorm(30) cmbs <- list() for (i in 1:6) cmbs <- c(cmbs,combn(6,i,simplify=FALSE)) for (i in 1:length(cmbs)) print(summary(lm(y ~ x[,cmbs[[i]]]))) On 22 Jan 2007 08:51:22 -0000, anil kumar rohilla <[EMAIL PROTECTED]> wrote: > > Hi, > List , i have 6 predictor variables and i want to make possible combinations > of these 6 predictors ,all the data is in matrix form , > if i am having 6 predictors than possible combination of sets are 64 2 power > 6, or 63 ,whatever it may be i want to store the result in another variable > to each combination and that i want to put in some model , > > i want to put every combination in some model ,please help me how to find > suitable combinations of these variables ........ > > i was not able to do this . > Any package is there in R which can help me in this regards > any help . > thanks in Advance > > > ANIL KUMAR( METEOROLOGIST) > LRF SECTION > NATIONAL CLIMATE CENTER > ADGM(RESEARCH) > INDIA METEOROLOGICAL DEPARTMENT > SHIVIJI NAGAR > PUNE-411005 INDIA > MOBILE +919422023277 > [EMAIL PROTECTED] > > [[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. > -- ================================= David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP ______________________________________________ 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.