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The partial least squares (PLS) is a popular modeling technique commonly usedin social sciences. The traditional PLS algorithm deals with variables measuredon interval scales while data are often collected on ordinal scales: areformulation of the algorithm, named ordinal PLS (OPLS), is introduced, whichproperly deals with ordinal variables. An application to customer satisfactiondata and some simulations are also presented. The technique seems to performbetter than the traditional PLS when the number of categories of the items inthe questionnaire is small (4 or 5) which is typical in the most commonpractical situations.

A Partial Least Squares Algorithm Handling Ordinal Variables also in Presence of a Small Number of Categories