Optimization of discriminant partial least squares regression models for the detection of animal by-product meals in compound feedingstuffs by near-infrared spectroscopy

Applied Spectroscopy

Volumn 60, Issue 12, 2006, Pages 1432-1437

  Perez MARIN D C ^a   Garrido Varo, A ^a   Guerrero, J E ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Animal by product meals; Compound feedingstuffs; Discriminant PLS1; Discriminant PLS2; Intact analysis; Near infrared spectroscopy; NIRS; Partial least squares; PLS; Unbalanced sets

Indexed keywords

ALGORITHMS; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

ANIMAL BY-PRODUCT MEALS; COMPOUND FEEDING STUFFS; DISCRIMINANT PLS1; DISCRIMINANT PLS2; INTACT ANALYSIS; NEAR-INFRARED SPECTROSCOPY (NIRS); PARTIAL LEAST SQUARES (PLS);

LEAST SQUARES APPROXIMATIONS;

ALGORITHM; ANIMAL; ANIMAL FOOD; ARTICLE; CHEMICAL MODEL; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FOOD ANALYSIS; INFRARED SPECTROPHOTOMETRY; METHODOLOGY; QUALITY CONTROL; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMAL FEED; ANIMALS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FOOD ANALYSIS; LEAST-SQUARES ANALYSIS; MODELS, CHEMICAL; QUALITY CONTROL; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROPHOTOMETRY, INFRARED;

EID: 33845917062     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370206779321427     Document Type: Article

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