Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers

The main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre- and postslaughter traits of Ross 308 broiler chickens). Principal component analysis (PCA...

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Detalhes bibliográficos

Autor principal:	Mehmet Mendes
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Ankara University 2011-03-01
coleção:	Journal of Agricultural Sciences
Assuntos:	multivariate regression analysis principal component analysis canonical correlation
Acesso em linha:	https://dergipark.org.tr/tr/download/article-file/1569530
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