Hi,
I am working on a project about hospital efficiency. Due to the high
multicolinearlity of the data, I want to fit the model using ridge
regression. However, I believe that the data from large hospital(indicated
by the number of patients they treat a year) is more accurate than from
small hosptials, and I want to put more weight on them. How do I do this
with lm.ridge?
I know I just need to put "weights=***" in lm function, but for lm.ridge, i
don't see that option in lm.ridge.
Could somebody give me suggestions on that?
thanks
ben
[[alternative HTML version deleted]]
______________________________________________
[EMAIL PROTECTED] 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.
