A simultaneous non‐symmetrical principal component analysis with a group structure

Vincenzo Esposito and Simona Balbi

Applied Stochastic Models in Business and Industry, 1999, vol. 15, issue 4, 301-309

Abstract: The aim of this paper is to propose an extension of principal component analysis onto a reference subspace (PCAR) to the case where the same dependent variables have been measured on the same statistical units under two, or more, different observational conditions. As the units belong to the same multidimensional space, we profitably apply the orthogonal Procrustean rotations, jointly with PCAR, so as to enrich the interpretability of patterns on factorial planes. The proposed technique is applied to a problem of agreement in the area of sensory data analysis for representing evaluation gaps between the perception of quality by wine experts and ordinary consumers. The proposed approach allows to explain the eventually detected gaps in terms of the physical–chemical characteristics of wines. Copyright © 1999 John Wiley & Sons, Ltd.

Date: 1999
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/(SICI)1526-4025(199910/12)15:43.0.CO;2-Y

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:15:y:1999:i:4:p:301-309

Access Statistics for this article

More articles in Applied Stochastic Models in Business and Industry from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().