Principal component analysis in sensory analysis: Covariance or correlation matrix?

Food Quality and Preference

Volumn 12, Issue 5-7, 2001, Pages 323-326

  Borgognone, María G ^a   Bussi, Javier ^a   Hough, Guillermo ^b  

^a UNIVERSIDAD NACIONAL DE ROSARIO   (Argentina)

^b Instituto Superior Experimental de Tecnologia Alimentaria   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012404968     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-3293(01)00017-9     Document Type: Article

References (9)

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4. Johnson A.J., Wichern D.W. Applied multivariate statistical analysis. 1992;Prentice-Hall, Englewood Cliffs, NJ.
5. Lawless H.T., Heymann H. Sensory evaluation of food: principles and practices. 1998;Chapman and Hall, New York.
6. Meilgaard M., Civille G.V., Carr B.T. Sensory evaluation techniques. 3rd ed. 1999;CRC Press, Boca Raton.
7. Næs T., Risvik E. Multivariate analysis of data in sensory science. 1996;Elsevier, Amsterdam.
8. Stone H., Sidel J.L. Sensory evaluation practices. 2nd ed. 1993;Academic Press, San Diego, California.
9. Vuataz, L. 1976/1977. Some points of methodology in multidimensional data analysis as applied to sensory evaluation, In: C. Boella (Ed.), Nestle research news. (pp. 57-71) Lausanne, Switzerland: Nestle Technical Documentation Center.