Matrix of Parameter estimate covariances. Made up of PCovCells, each of them being located via row information for
Parameter name (pRow), row information for target variable value (tRow), column information for Parameter name (pCol)
and column information for target variable value (tCol). Note that the matrix is symmetric with respect to the main
diagonal (interchanging tRow and tCol together with pRow and pCol will not change the value). Therefore it is
sufficient that only half of the matrix be exported. Attributes tRow and tCol are optional since they are not needed
for linear regression models. This element has an optional attribute type that can take values model and robust.
This attribute describes the way the covariance matrix was computed in generalizedLinear model. The robust option is
also known as Huber-White or sandwich or HCCM.
Matrix of Parameter estimate covariances. Made up of PCovCells, each of them being located via row information for Parameter name (pRow), row information for target variable value (tRow), column information for Parameter name (pCol) and column information for target variable value (tCol). Note that the matrix is symmetric with respect to the main diagonal (interchanging tRow and tCol together with pRow and pCol will not change the value). Therefore it is sufficient that only half of the matrix be exported. Attributes tRow and tCol are optional since they are not needed for linear regression models. This element has an optional attribute type that can take values model and robust. This attribute describes the way the covariance matrix was computed in generalizedLinear model. The robust option is also known as Huber-White or sandwich or HCCM.