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Updated: Mar 16, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
Regression models based on new local strategies for near infrared spectroscopic data
F Allegrini1, J A Fernández Pierna2, W D Fragoso3
1Univ. Nacional de Rosario, Facultad de Ciencias Bioquímicas y Farmacéuticas, IQUIR, CONICET, Argentina.
Abstract:
In this work, a comparative study of two novel algorithms to perform sample selection in local regression based on Partial Least Squares Regression (PLS) is presented. These methodologies were applied for Near Infrared Spectroscopy (NIRS) quantification of five major constituents in corn seeds and are compared and contrasted with global PLS calibrations. Validation results show a significant improvement in the prediction quality when local models implemented by the proposed algorithms are applied to large data bases.
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