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Two model fitting algorithms are available: nonlinear iterative partial least squares (NIPALS) and a “statistically inspired modification of PLS” (SIMPLS). For more information about NIPALS, see Wold (1980). For more information about SIMPLS, see De Jong (1993). For a description of both methods, see Boulesteix and Strimmer (2007). The SIMPLS algorithm was developed with the goal of solving a specific optimality problem. For a single response, both methods give the same model. For multiple responses, there are slight differences.
Partial Least Squares uses the van der Voet T2 test and cross validation to help you choose the optimal number of factors to extract.

Help created on 3/19/2020