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Interaction Terms in Non-linear PLS via Additive Spline Transformation

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Between Data Science and Applied Data Analysis

Abstract

This paper aims to extend the non-linear additive Partial Least Squares model via Spline transformation (PLSS, Durand 2001) to the detection and introduction of significant interaction terms as linear manifolds of multivariately transformed variables (Lombardo & van Rijckevorsel 2000).

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© 2003 Springer-Verlag Berlin Heidelberg

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Durand, JF., Lombardo, R. (2003). Interaction Terms in Non-linear PLS via Additive Spline Transformation. In: Schader, M., Gaul, W., Vichi, M. (eds) Between Data Science and Applied Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18991-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-18991-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40354-8

  • Online ISBN: 978-3-642-18991-3

  • eBook Packages: Springer Book Archive

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