A Comparison of Techniques for Modelling Data with Non-Linear Structure
Partial least squares (PLS) is a powerful tool for multivariate linear regression. But what if the data show a non-linear structure? Near infrared spectra from a pharmaceutical process were used as a case study. An ANOVA test revealed that the data are well described by a 2nd order polynomial. This...
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Veröffentlicht in: | Journal of near infrared spectroscopy (United Kingdom) 2003-02, Vol.11 (1), p.55-70 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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