Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study

Novel manipulations of the well-established multivariate calibration models namely; partial least square regression (PLSR) and support vector regression (SVR) are introduced in the presented comparative study. Two preprocessing methods comprising first derivatization and orthogonal projection to lat...

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Detalles Bibliográficos
Autores principales: Abdallah, Fatma F., Darwish, Hany W., Darwish, Ibrahim A., Naguib, Ibrahim A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760832/
https://www.ncbi.nlm.nih.gov/pubmed/31553757
http://dx.doi.org/10.1371/journal.pone.0222197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760832/
https://www.ncbi.nlm.nih.gov/pubmed/31553757
http://dx.doi.org/10.1371/journal.pone.0222197

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