A principal component analysis of a covariance matrix is equivalent to an analysis of a weighted correlation matrix, where the weight of each variable is equal to its variance. Variables with large ...

D-optimality is based on the determinant of the information matrix for the design, which is the same as the reciprocal of the determinant of the variance-covariance matrix for the least-squares ...

Tests multiple groups of explanatory variable and one outcome variable Tests multiple groups of explanatory variable and two or more outcome variables Uses means to calculate variance within ... our ...