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A probabilistic derivation of the partial least-squares algorithm
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Materials Science. Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group. SIGNALS AND SYSTEMS.
2001 (English)In: JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, ISSN 0095-2338, Vol. 41, no 2, 288-294 p.Article in journal (Refereed) Published
Abstract [en]

Traditionally the partial least-squares (PLS) algorithm, commonly used in chemistry for ill-conditioned multivariate linear regression, has been derived (motivated) and presented in terms of data matrices. In this work the PLS algorithm is derived probabi

Place, publisher, year, edition, pages
2001. Vol. 41, no 2, 288-294 p.
Keyword [en]
CHEMOMETRICS REGRESSION TOOLS; STATISTICAL VIEW; BLIND SEPARATION; PLS
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-36504OAI: oai:DiVA.org:uu-36504DiVA: diva2:64403
Note

Addresses: Gustafsson MG, Uppsala Univ, Signal & Syst Grp, POB 528, S-75120 Uppsala, Sweden. Uppsala Univ, Signal & Syst Grp, S-75120 Uppsala, Sweden.

Available from: 2008-06-11 Created: 2008-06-11 Last updated: 2016-01-26

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