Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy

Journal of Agricultural and Food Chemistry

Volumn 55, Issue 21, 2007, Pages 8331-8338

  Valderrama, Patrícia ^a   Braga, Jez Willian B ^a   Poppi, Ronei Jesus ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Alcohol industry; Near infrared spectroscopy; Outliers; PLSR; Validation

Indexed keywords

ALCOHOL;

ANALYSIS OF VARIANCE; ARTICLE; CALIBRATION; CHEMICAL INDUSTRY; CHEMISTRY; NEAR INFRARED SPECTROSCOPY; QUALITY CONTROL; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; SUGARCANE; SYNTHESIS;

ANALYSIS OF VARIANCE; CALIBRATION; CHEMICAL INDUSTRY; ETHANOL; LEAST-SQUARES ANALYSIS; MODELS, STATISTICAL; QUALITY CONTROL; SACCHARUM; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED;

SACCHARUM;

EID: 35449008441     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf071538s     Document Type: Article

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