A multidimensional approach to conjoint analysis

In this paper we propose an alternative approach to conjoint analysis (CA) based on the principal component analysis onto a reference sub-space (PCAR). Following this technique, the results of a CA are considerably enriched by some graphical interpretation tools and optimal synthesis of the individual estimated part-worth coefficients are also obtained with respect to hierarchized judges sub-populations.