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The construction of a partial least-squares biplot

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  • Opeoluwa F. Oyedele
  • Sugnet Lubbe

Abstract

Biplots are useful tools to explore the relationship among variables. In this paper, the specific regression relationship between a set of predictors X and set of response variables Y by means of partial least-squares (PLS) regression is represented. The PLS biplot provides a single graphical representation of the samples together with the predictor and response variables, as well as their interrelationships in terms of the matrix of regression coefficients.

Suggested Citation

  • Opeoluwa F. Oyedele & Sugnet Lubbe, 2015. "The construction of a partial least-squares biplot," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(11), pages 2449-2460, November.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:11:p:2449-2460
    DOI: 10.1080/02664763.2015.1043858
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    Cited by:

    1. Laura Vicente-Gonzalez & Jose Luis Vicente-Villardon, 2022. "Partial Least Squares Regression for Binary Responses and Its Associated Biplot Representation," Mathematics, MDPI, vol. 10(15), pages 1-23, July.
    2. Opeoluwa FO & Sugnet L, 2017. "Biplots in Covariance Analysis," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 3(5), pages 147-154, November.

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