I think that what you want do is stepwise, see step function On 09/02/2008, AliR <[EMAIL PROTECTED]> wrote: > > Thank you, can you suggest wht is the shortest way to store the combination > with min residual error term? > > > > AliR wrote: > > > > http://www.nabble.com/file/p15359204/test.data.csv > > http://www.nabble.com/file/p15359204/test.data.csv test.data.csv > > > > Hi, > > > > I have used apply to have certian combinations, but when I try to use > > these combinations I get the error > > [Error in eval(expr, envir, enclos) : object "X.GDAXI" not found]. being a > > novice I donot understand that after applying combination to the data I > > cant access it and use lm on these combinations. The data frame either is > > no longer a matrix, how can I access the data and make it work for lm!! > > > > Any help please! > > > > > > > > > > > > > > fruit = read.csv(file="test.data.csv",head= TRUE, sep=",")# read it in > > matrix format > > > > #fruit =read.file(row.names=1)$data > > > > mD =head(fruit[, 1:5])# only first five used in combinations > > #X.SSMII = head(fruit[, 6])# Keep it for referebce > > nmax = NULL > > n = ncol(mD)# dont take the last column for reference purpose > > if(is.null(nmax)) nmax = n > > > > mDD = apply(combn(5, 1),1, FUN= function(y) mD[, y])# to > > > > > > > > fg = lm( X.SSMII ~ X.GDAXI + X.FTSE + X.FCHI + X.IBEX, data = mDD )# > > regress on combos > > > > s = cbind(s, Residuals = residuals(fg))# take residuals > > > > print(mD) > > > > > > -- > View this message in context: > http://www.nabble.com/Applying-lm-to-data-with-combn-tp15359204p15391159.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. >
-- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O ______________________________________________ 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.
