Using partial least squares regression for conjoint analysis
Abstract
After a presentation of the classical methodology of conjoint analysis we advocate the use of PLS regression instead of classical regression in order to obtain a better accuracy in the estimation of utilities. PLS regression provides also interesting graphical representations allowing quick and easy interpretation of the relations among preferences, attributes and profiles.
Origin | Publisher files allowed on an open archive |
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