Hi, Im using the lm() function where the formula is quite big (300 arguments) and the data is a frame of 3000 values.
This is running in a loop where in each step the formula is reduced by one argument, and the lm command is called again (to check which arguments are useful) . This takes 1-2 minutes. Is there a way to speed this up? i checked the code of the lm function and its seems that its preparing the data and then calls lm.Fit(). i thought about just doing this praparing stuff first and only call lm.fit() 300 times. -- View this message in context: http://www.nabble.com/stats-lm%28%29-function-tp22482054p22482054.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.
