Also, have you considered "sem" (structural equation modeling)? From what I've heard, partial least squares started out as a solution without a clear problem statement, i.e., an algorithm claiming to solve a problem but without a clear statement of a probability model for which their algorithm produced the (approximate) maximum likelihood or Bayesian posterior mode. Structural equation modeling, by contrast, provides the model and problem statement that partial least squares seems to try to solve. I got this impression from reading the PLS article in the Encyclopedia of Statistical Sciences.
hope this helps. spencer graves
Lana Schaffer wrote:
Friends,
Is there a Partial Least Squares package implemented in R?
Thanks,
Lana
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