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

Caixa Geral de Depositos;Autoridade Nacional de Comunicacoes (ANACOM);Universidade Tecnica de Lisboa;Fundacao para a Ciencia e a Tecnologia (FCT);Fundacao Calouste Gulbenkian

Repositorio Institucional de la Universidad de Oviedo

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

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