Partial Least Squares Discriminant Analysis Model Based on Variable Selection Applied to Identify the Adulterated Olive Oil

Food Analytical Methods

Volumn 9, Issue 6, 2016, Pages 1713-1718

  Li, Xinhui ^a   Wang, Sulan ^a   Shi, Weimin ^a   Shen, Qi ^a  

^a ZHENGZHOU UNIVERSITY   (China)

Author keywords

Adulteration; Fourier transform infrared spectroscopy; Olive oil; Partial least squares discriminant analysis; Variable selection

Indexed keywords

DISCRIMINANT ANALYSIS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; MULTIVARIANT ANALYSIS; VEGETABLE OILS;

ADULTERATION; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; MONTE CARLO UNINFORMATIVE VARIABLE ELIMINATIONS; MULTIVARIATE STATISTICAL ANALYSIS; PARTIAL LEAST SQUARES - DISCRIMINANT ANALYSIS; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); VARIABLE SELECTION;

OLIVE OIL;

EID: 84946934898     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-015-0355-8     Document Type: Article

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