Uses of Class
com.imsl.stat.Covariances.DiffObsDeletedException

Packages that use Covariances.DiffObsDeletedException

Package	Description
com.imsl.stat	Statistical methods.

Uses of Covariances.DiffObsDeletedException in com.imsl.stat

Methods in com.imsl.stat that throw Covariances.DiffObsDeletedException

Modifier and Type	Method	Description
final double[][]	Covariances.compute(int matrixType)	Computes the matrix.
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.

Constructors in com.imsl.stat that throw Covariances.DiffObsDeletedException

Modifier	Constructor	Description
	StepwiseRegression(double[][] x, double[] y)	Creates a new instance of StepwiseRegression.
	StepwiseRegression(double[][] x, double[] y, double[] weights)	Creates a new instance of weighted StepwiseRegression.
	StepwiseRegression(double[][] x, double[] y, double[] weights, double[] frequencies)	Creates a new instance of weighted StepwiseRegression using observation frequencies.