A multivariate method for relating groups of measurements connected by a causal pathway

Abstract The multivariate regression model solved by partial least squares, PLS, is extended to more than one predictor block; two algorithms are discussed in detail. The performance of the method is tested by applying it to a water quality problem. Several underlying factors are revealed. Contributions of the various ions are assigned to the different polluting run-offs.