DPLS and PPLS: two PLS algorithms for large data sets

Two enhancements to the PLS regression algorithm are presented. The first, direct PLS (DPLS), offers a direct approximate formulation for the calculation of the required eigenvectors when dealing with more than one dependent variable. The second enhancement is parallel PLS (PPLS), a parallel version of the PLS algorithm restricted to the case of only one dependent variable for the regression model. In the experiments, DPLS shows a 40% faster running time, while the PPLS produces a speedup of 3 for the first four machines in a computer cluster architecture.