Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR

The method is applied to the analysis of consumer liking data Y of six products assessed by 125 persons, in light of 10 other product descriptors X and 15 other person descriptors Z. Its performance is also checked on artificial data.