Partial-least squares regression (PLS) is a statistical tool specifically designed to cope with problems like small datasets, missing values and the presence of multicollinearity . The paper proceeds first with a concise review of the PLS method.

Einf(c)ơhrung -- Mehrdimensionale Zufallsvariablen und Verteilungen -- Grundlegende multivariate Sch(c)Þtz- und Testprobleme -- Regressionsanalyse -- Varianz- und Kovarianzanalyse -- Kategoriale und generalisierte lineare Regression -- Regressionsmodelle zur Analyse von Verweildauern --...

This paper deals with the identification of treatment effects when the outcome variable is ordered. If outcomes are measured ordinally, previously developed methods to investigate the impact of an endogenous binary regressor on average outcomes cannot be applied as the expectation of an ordered...