Although I along with the other believe there probably is an efficient R solution, the answer to your direct question can perhaps be found at http://www.fortran.com/. The free GNU G95 fortran compiler is at http://www.g95.org/ Joe
-----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Dimitri Liakhovitski Sent: Monday, September 08, 2008 11:05 AM To: R-Help List Subject: [R] Question about multiple regression Dear R-list, maybe some of you could point me in the right direction: Are you aware of any FREE Fortran or Java libraries/actual pieces of code that are VERY efficient (time-wise) in running the regular linear least-squares multiple regression? More specifically, I have to run small regression models (between 1 and 15 predictors) on samples of up to N=700 but thousands and thousands of them. I am designing a simulation in R and running those regressions and R itself is way too slow. So, I am thinking of compiling the regression run itself in Fortran and Java and then calling it from R. Thank you very much for any advice! Dimitri Liakhovitski MarketTools, Inc. [EMAIL PROTECTED] ______________________________________________ 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. ______________________________________________ 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.
