Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

This is a preview. Log in through your library . Abstract Correlation matrices play a key role in many multivariate methods (e.g., graphical model estimation and factor analysis). The current state-of ...

This is a preview. Log in through your library . Abstract The minimum chi-squared test is obtained for testing the hypothesis that the smallest r eigenvalues of an m × m correlation matrix are equal, ...