Computes the best multiple linear regression models using a user-supplied covariance matrix.
double
matrix containing a variance-covariance or sum-of- squares and crossproducts matrix, in which the last column must correspond to the dependent variable. int
containing the number of observations used to compute cov. cov can be computed using the Covariances class.
Exception Type | Condition |
---|---|
NoVariablesException | is thrown if no variables can enter any model |
SelectionRegression Class | Imsl.Stat Namespace | SelectionRegression.Compute Overload List