Partial least-squares regression: a tutorial

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Abstract

A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.

References (11)

  • P. Geladi et al.

    Anal. Chim. Acta

    (1986)
  • B. Kowalski et al.

    Chemical Systems under Indirect Observation

  • S. Wold et al.

    SIAM J. Sci. Stat. Comput.

    (1984)
  • M. Otto et al.

    Anal. Chem.

    (1985)
  • S. Wold
There are more references available in the full text version of this article.

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Present address: Chemometrics Group, Department of Organic Chemistry, Umeå University, S-901 87 Umeå, Sweden.

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