Comparison of Principal Component Regression (PCR) and Partial Least Square (PLS) methods in prediction of raw milk composition by VIS-NIR spectrometry. Application to development of on-line sensors for fat, protein and lactose contents

dc.contributor.author	Muñiz Vega, Rocío
dc.contributor.author	Pérez García, Miguel Ángel
dc.contributor.author	Torre Fernández, Cristina de la
dc.contributor.author	Carleos Artime, Carlos Enrique
dc.contributor.author	Corral, N.
dc.contributor.author	Baro de la Fuente, Jesús Ángel
dc.date.accessioned	2016-03-14T16:52:37Z
dc.date.available	2016-03-14T16:52:37Z
dc.date.issued	2009
dc.identifier.citation	19th IMEKO World Congress 2009, 4, p. 2498-2502 (2009)
dc.identifier.isbn	9781615675937
dc.identifier.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84871544561&partnerID=40&md5=025a70a735504b43865b22ec917107b7
dc.identifier.uri	http://hdl.handle.net/10651/35606
dc.description	IMEKO World Congress 2009 (19. 2009. Lisbon)
dc.description.sponsorship	Caixa Geral de Depositos;Autoridade Nacional de Comunicacoes (ANACOM);Universidade Tecnica de Lisboa;Fundacao para a Ciencia e a Tecnologia (FCT);Fundacao Calouste Gulbenkian
dc.format.extent	p. 2498-2502
dc.language.iso	eng
dc.relation.ispartof	19th IMEKO World Congress 2009
dc.rights	©,
dc.source	Scopus
dc.title	Comparison of Principal Component Regression (PCR) and Partial Least Square (PLS) methods in prediction of raw milk composition by VIS-NIR spectrometry. Application to development of on-line sensors for fat, protein and lactose contents
dc.type	conference output	spa

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