SelectionRegression.Compute Method (Double[,], Double[])

SelectionRegressionCompute Method (Double, Double)

Computes the best multiple linear regression models.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public virtual void Compute(
	double[,] x,
	double[] y
)

Public Overridable Sub Compute ( 
	x As Double(,),
	y As Double()
)

public:
virtual void Compute(
	array<double,2>^ x, 
	array<double>^ y
)

abstract Compute : 
        x : float[,] * 
        y : float[] -> unit 
override Compute : 
        x : float[,] * 
        y : float[] -> unit

x: Type: SystemDouble
A double matrix containing the observations of the candidate (independent) variables.
y: Type: SystemDouble
A double array containing the observations of the dependent variable.

Exceptions

Exception	Condition
NoVariablesException	is thrown if no variables can enter any model
TooManyObsDeletedException	is thrown if more observations have been deleted than were originally entered
MoreObsDelThanEnteredException	is thrown if more observations are being deleted from the output covariance matrix than were originally entered
DiffObsDeletedException	is thrown if different observations are being deleted from the return matrix than were originally entered

Remarks

The number of columns in x must be equal to the number of variables set in the constructor.