Thank you Ralf. I am starting with these things (just a couple of weeks). I have a data base with temperature records of 90 consecutive days (along the year) affecting the fertility (0 or 1) of animals and I want to identify what set of temperatures have more negative effect and what is the magnitude of that effect. Since temperature records of are highly correlated (more if days are close), in a first attempt I decided to used a ridge regression procedure. However, I would like to find another options and compared between they. Once I have chosen the days, I will try to identify differences on the responses of each animal.
So my initial purpose is to find different options that could help me to solve that problem. -- View this message in context: http://n4.nabble.com/Scripts-from-The-Elements-of-Statistical-Learning-book-tp1586751p1588167.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.
