I would like to make a PLS regression with the Proc PLS. I have some missing values in my dataset but I thought that the NIPALS algorithm could run with it. By default, it’s not true. There is a MISSING option in the procedure: with MISSING=NONE, observations with any missing variables are excluded from the analysis; with the two others options, AVG and EM, missing values are replaced by estimations. I think that is contradictory with what the NIPALS algorithm allows. Could you correct me if I make a mistake? Otherwise, how is it possible to run the Proc PLS with the NIPALS algorithm and missing values?