I'd like to fit linear models on very large datasets. My data frames
are about 200 rows x 200 columns of doubles and I am using an 64
bit build of R. I've googled about this extensively and went over the
"R Data Import/Export" guide. My primary issue is although my data
represented in ascii for
I have a data frame called df which has about 100 columns but thousands of
rows. I set D the index of df$D and M to be the index of df$M.
When I run the following loop as it is vs. df[,D] and df[,M] replaced with
df$D and df$M there is a real big time difference in completion (with the
latter being