Hi, I have following kind of model : Y = X1 * a1 + X2 * a2 + error Here sampled data for Y, X1, X2 are like that :
Y <- replicate(10, matrix(rnorm(2),2), simplify = F) X1 <- replicate(10, matrix(rnorm(4),2), simplify = F) X2 <- replicate(10, matrix(rnorm(4),2), simplify = F) My goal is to calculate LS estimates of vectors "a1" and "a2". Can anyone please guide me how to do that in R? Is there any special function to handle this kind of problem? Thanks -- View this message in context: http://www.nabble.com/%22Special%22-LS-estimation-problem-tp25083103p25083103.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.
