2014•Food and Bioprocess TechnologyRequires access

Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat

S. Mahesh, Digvir S. Jayas, Jitendra Paliwal, N. D. G. White

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Key concepts: Partial least squares regression, Principal component regression, Principal component analysis, Linear regression, Mathematics, Regression analysis, Statistics, Regression

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Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat — Research Paper | ScholarLens