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Vitale, R.; Palací-López, DG.; Kerkenaar, H.; Postma, G.; Buydens, L.; Ferrer, A. (2018). Kernel-Partial Least Squares regression coupled to pseudo-sample trajectories for the analysis of mixture designs of experiments. Chemometrics and Intelligent Laboratory Systems. 175:37-46. https://doi.org/10.1016/j.chemolab.2018.02.002
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/133377
Título: | Kernel-Partial Least Squares regression coupled to pseudo-sample trajectories for the analysis of mixture designs of experiments | |
Autor: | Palací-López, Daniel Gonzalo Kerkenaar, Harmen Postma, GJ Buydens, Lutgarde | |
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[EN] This article explores the potential of Kernel-Partial Least Squares (K-PLS) regression for the analysis of data proceeding from mixture designs of experiments. Gower's idea of pseudo-sample trajectories is exploited ...[+]
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Derechos de uso: | Reserva de todos los derechos | |
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Versión del editor: | https://doi.org/10.1016/j.chemolab.2018.02.002 | |
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