Predictive and interpolative biplots applied to canonical variate analysis in the discrimination of vegetable oils by their fatty acid composition

Journal of Chemometrics

Volumn 18, Issue 9, 2004, Pages 393-401

  Alves, M Rui ^a,b   Oliveira, M Beatriz ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b INSTITUTO POLITÉCNICO DE VIANA DO CASTELO   (Portugal)

Author keywords

Canonical variate analysis; Discriminant analysis; Fatty acids; Interpolative biplots; Predictive biplots; Vegetable oils

Indexed keywords

ISOMERS; SOYBEAN OIL; STATISTICAL MECHANICS; SUNFLOWER OIL; UNSATURATED FATTY ACIDS;

BIPLOTS; CANONICAL VARIATE ANALYSIS; CAPILLARY COLUMNS; CIS AND TRANS ISOMERS; FATTY ACID COMPOSITION; FATTY ACIDS PROFILES; INTERPOLATIVE BIPLOT; NUMBER OF CARBON ATOMS; PREDICTIVE BIPLOT;

DISCRIMINANT ANALYSIS;

ARACHIS OIL; CARBON; CORN OIL; MONOUNSATURATED FATTY ACID; SOYBEAN OIL; SUNFLOWER OIL; VEGETABLE OIL;

ARTICLE; CIS TRANS ISOMERISM; DISCRIMINANT ANALYSIS; LIPID COMPOSITION; MEASUREMENT; STATISTICAL ANALYSIS; STATISTICAL MODEL; TECHNIQUE;

EID: 16344361869     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/cem.884     Document Type: Article

References (16)

1. Mardia KV, Kent JT, Bibby JM. Multivariate Analysis. Academic Press: London, 1979; 333-359.
2. Gower JC, Hand DJ. Biplots. Chapman and Hall: London, 1996; 86-101
3. Oliveira MB, Alves MR, Ferreira MA. Multivariate analysis of fatty acids cis and trans isomers in margarines determined by HRGC/FID/capillary column. J. Chemometrics 2001; 15: 71-84.
4. Alves MR, Oliveira MB. Interpolative biplots applied to principal component analysis and canonical correlation analysis. J. Chemometrics 2003; 17: 1-9.
5. Oliveira MB, Ferreira MA. Capillary gas chromatographic evaluation of trans fatty acid content of food produced under traditional conditions of semi-industrial frying. J. High Resol. Chromatogr. 1996; 19: 180-182.
6. Wadsworth WM, Stephens KS, Godfrey AB. Modern Methods for Quality Control and Improvement. Wiley: New York, 1986; 326-331.
7. Bray JH, Maxwell SE. Multivariate analysis of variance. Sage University Paper, Series: Quantitative Applications in the Social Sciences 1985; 54: 27-29.
8. Wold S. Cross-validatory estimation of the number of components in factor analysis and principal components models. Technometrics 1978; 20: 397-406.
9. Martens H, Naes T. Multivariate Calibration. Wiley: Chichester, 1989; 97-116; 254-259.
10. Unscrambler II, Version 3.4 (User's Guide and Software Package). CAMO: Trondheim, 1991.
11. Genstat, Release 5.3.1. Numerical Algorithms Group: Oxford, 1993.
12. Statistica for Windows, 5.1 Release. StatSoft: Tulsa, OK, 1998.
13. Alves MR, Casal S, Oliveira MB, Ferreira MA. Contribution of FA profile obtained by high-resolution GC/chemometric techniques to the authenticity of green and roasted coffee varieties. J. Am. Oil Chem. Soc. 2003; 80: 511-517.
14. Naes T, Indahal U. A unified description of classical classification methods for multicollinear data. J. Chemometrics 1998; 12: 205-220.
15. IPQ (Portuguese Institute for Quality). Gorduras e Óleos Comestíveis. Óleo Alimentar. Definição, Características e Acondicionamento. NP 2037, 1987.
16. Oliveira MB. Estudo de qualidade de óleos alimentares. PhD Thesis, University of Porto, 1994; 147-156.