Two-step PLS regression for L-structured data: an application in the cosmetic industry

DOI10.1007/s10260-006-0028-2zbMath1405.62234OpenAlexW2056445521WikidataQ114691337 ScholiaQ114691337MaRDI QIDQ635886

Vincenzo Esposito Vinzi, Christiane Guinot, Silvia Squillacciotti

Publication date: 25 August 2011

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-006-0028-2

zbMATH Keywords

external informationL-structurespartial least squares (PLS) regressionpreference data

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Related Items (2)

Factorial modelling of the interactions between two sets of observations: the PLS-FILM method ⋮ Quantile composite-based path modeling

Uses Software

• SIMCA

Cites Work

• PLS path modeling
• Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR
• Principal component analysis with external information on both subjects and variables
• PLS Typological Regression: Algorithmic, Classification and Validation Issues
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