Two-step PLS regression for L-structured data: an application in the cosmetic industry
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DOI: 10.1007/s10260-006-0028-2
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- Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
- Martens, Harald & Anderssen, Endre & Flatberg, Arnar & Gidskehaug, Lars Halvor & Hoy, Martin & Westad, Frank & Thybo, Anette & Martens, Magni, 2005. "Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 103-123, January.
- TENENHAUS, Michel & CHATELIN, Yves-Marie & ESPOSITO VINZI, Vincenzo, 2002. "State-of-art on PLS Path Modeling through the available software," HEC Research Papers Series 764, HEC Paris.
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- Cristina Davino & Vincenzo Esposito Vinzi, 2016. "Quantile composite-based path modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(4), pages 491-520, December.
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Keywords
Partial least squares (PLS) regression; Preference data; External information; L-structures;All these keywords.
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