A comparison of methods for linear prediction of apple flavour from gas chromatographic measurements

Autor:	Ib Skovgaard, Leif Poll, Keld Hansen, Per B. Brockhoff
Rok vydání:	1993
Předmět:	Nutrition and Dietetics Chromatography Chemistry Linear regression Partial least squares regression Statistics Explained sum of squares Principal component regression Linear prediction Sensory analysis Regression Cross-validation Food Science
Zdroj:	Food Quality and Preference. 4:215-222
ISSN:	0950-3293
DOI:	10.1016/0950-3293(93)90165-3
Popis:	A comparative study of linear methods for prediction of sensory profiles from gas chromatography (GC) measurements was performed. The data used came from an experiment on the effect of storing apples at various oxygen concentrations. Partial least-squares regression and continuum regression showed the best performance, measured by a two-step cross-validation principle. The traditional prediction error sum of squares (PRESS) overestimated the predictive ability of a multiple linear regression approach. The quality of the predictions of sensory properties from GC analyses was measured in terms of a ‘panel size equivalent’. Thus, the predictions obtained in the present study were as accurate as predictions from an assessor panel consisting of 4–9 assessors, depending on the sensory property in question.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92d77bec08f504b441e765c909d5f451 https://doi.org/10.1016/0950-3293(93)90165-3 Zobrazit plný text záznamu