Uses of Class
com.imsl.stat.SelectionRegression.NoVariablesException

Packages that use SelectionRegression.NoVariablesException

Package	Description
com.imsl.stat	Statistical methods.

Uses of SelectionRegression.NoVariablesException in com.imsl.stat

Methods in com.imsl.stat that throw SelectionRegression.NoVariablesException

Modifier and Type	Method and Description
void	SelectionRegression.compute(double[][] x, double[] y) Computes the best multiple linear regression models.
void	SelectionRegression.compute(double[][] x, double[] y, double[] weights) Computes the best weighted multiple linear regression models.
void	SelectionRegression.compute(double[][] x, double[] y, double[] weights, double[] frequencies) Computes the best weighted multiple linear regression models using frequencies for each observation.
void	SelectionRegression.compute(double[][] cov, int nObservations) Computes the best multiple linear regression models using a user-supplied covariance matrix.