المؤلفون: Hassani, Sahar, Martens, Harald, Qannari, El Mostafa, Hanafi, Mohamed, Kohler, Achim

المساهمون: Nofima Mat As, Norwegian University of Life Sciences (NMBU), Services déconcentrés d'appui à la recherche Angers - Nantes, Institut National de la Recherche Agronomique (INRA)

المصدر: ISSN: 0169-7439 ; Chemometrics and Intelligent Laboratory Systems ; https://hal.inrae.fr/hal-02648470 ; Chemometrics and Intelligent Laboratory Systems, Elsevier, 2012, 117, pp.42 - 53. ⟨10.1016/j.chemolab.2011.06.001⟩.

مصطلحات موضوعية: Multi-block methods, Multi-block Partial Least Squares Regression (MBPLSR), Validation tools, Cross validation, Number of components, PREDICTION, QUALITY, PLS, [SDV]Life Sciences [q-bio], stat, geo

Relation: https://hal.inrae.fr/hal-02648470

الاتاحة: https://hal.inrae.fr/hal-02648470

المؤلفون: Harald Martens, Mohamed Hanafi, Achim Kohler, El Mostafa Qannari, Sahar Hassani

المساهمون: Nofima Mat As, Norwegian University of Life Sciences (NMBU), Services déconcentrés d'appui à la recherche Angers - Nantes, Institut National de la Recherche Agronomique (INRA)

المصدر: Chemometrics and Intelligent Laboratory Systems
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2012, 117, pp.42-53. ⟨10.1016/j.chemolab.2011.06.001⟩

مصطلحات موضوعية: Computer science, PREDICTION, [SDV]Life Sciences [q-bio], Generalized least squares, PLS, Cross validation, computer.software_genre, Stability (probability), Cross-validation, Analytical Chemistry, Partial least squares regression, QUALITY, Total least squares, Spectroscopy, Block (data storage), Process Chemistry and Technology, Multi-block methods, Multi-block Partial Least Squares Regression (MBPLSR), Computer Science Applications, Data set, Validation tools, Non-linear least squares, Data mining, Number of components, computer, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e8c64c233b3a32580c6d920b71cf772
https://hal.inrae.fr/hal-02648470