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Journal Articles Statistica Applicata - Italian Journal of Applied Statistics Year : 2020

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.
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Dates and versions

hal-02941462 , version 1 (17-09-2020)

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Giorgio Russolillo, Gilbert Saporta. Using partial least squares regression for conjoint analysis. Statistica Applicata - Italian Journal of Applied Statistics, 2020, Conjoint Analysis and Decision Making, 32, pp.67-84. ⟨10.26398/IJAS.0032-005⟩. ⟨hal-02941462⟩

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