tsn4867 <[EMAIL PROTECTED]> writes: > For the package "pls", I need to understand the algorithm for "simpls.fit" > for Partial Least Squares. I'm not sure if simpls.fit tries to find the > weight vectors (loadings) to maximize which of the two: Cov(Xw, y) or > maximize Cov^2(Xw,y)? Are these objective functions equivalent? (in some > texts, they use the first and in other texts, they use the second > obj. function.). I think the algorithm for simpls.fit is using Cov(Xw,y). > Also, can you give me some references where they state the equivalency of > the two obj. functions?
The implementation in simpls.fit follows the algorithm in de Jong, S. (1993) SIMPLS: an alternative approach to partial least squares regression. _Chemometrics and Intelligent Laboratory Systems_, *18*, 251-263. (up to simplifications and performance changes). I don't recall if the criterion was cov or cov^2, but I believe they should be identical (up to sign). -- Bjørn-Helge Mevik ______________________________________________ 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.