Partial Least Square regression PLS1 Philippe Rocca-Serra A comparison of nine PLS1 algorithms, Martin Andersson. https://doi.org/10.1002/cem.1248 term request from Ralf Weber and Gavin Lloyd, University of Birmingham a partial least square regression applied when there is only one variable in Y (the matrix of response variables), or it is desirable to model and optimize separately the performance of each of the variables in Y. This case is usually referred to as PLS1 regression (J = 1). plsreg1(x, y, nc = 2, cv = FALSE) https://www.rdocumentation.org/packages/plspm/versions/0.2-2/topics/plsreg1 ready for release