Does anybody have any suggestions regarding applying standard regression packages lm(), hccm(), and others within a parallel environment? Most of the packages I've found only deal with iterative processes (bootstrap) or simple linear algebra. While the latter might help, I'd rather not program the estimation code. I'm currently using a IA-64 Teragrid system through UC San Diego.
Alan [[alternative HTML version deleted]] ______________________________________________ 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.