Lists are the answer.
LIST<-list()
for(i in 1:ncol(results6))
{
LIST[[i]]<-lm(results6[,i]~data$observed)
}
You'll now have a 91 entry list of lm(). You can then do something like
this:
LIST2<-list()
for(i in 1:length(LIST))
{
LIST2[[i]]<-LIST[[i]]$r.squared
}
This should now be a list of 91 R-squared, which you can unlist() and save
in matrix form if you want.
-----
----
Isaac
Research Assistant
Quantitative Finance Faculty, UTS
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