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
    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.