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Degree of multicollinearity and variables involved in linear dependence in additive-dominant models
Provedor de dados: 86
Autores: Petrini,Juliana; Dias,Raphael Antonio Prado; Pertile,Simone Fernanda Nedel; Eler,Joanir Pereira; Ferraz,José Bento Sterman; Mourão,Gerson Barreto.
The objective of this work was to assess the degree of multicollinearity and to identify the variables involved in linear dependence relations in additive-dominant models. Data of birth weight (n=141,567), yearling weight (n=58,124), and scrotal circumference (n=20,371) of Montana Tropical composite cattle were used. Diagnosis of multicollinearity was based on the variance inflation factor (VIF) and on the evaluation of the condition indexes and eigenvalues from the correlation matrix among explanatory variables. The first model studied (RM) included the fixed effect of dam age class at calving and the covariates associated to the direct and maternal additive and non-additive effects. The second model (R) included all the effects of the RM model except the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Bos taurus x Bos indicus; Animal breeding; Beef cattle; Correlation matrix; Crossbreeding; Variance inflation factor.
Ano: 2012
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2012001200010