StepwiseRegression Constructor (Double[,], Double[], Double[], Double[])

StepwiseRegression Constructor (Double, Double, Double, Double)

Creates a new instance of weighted StepwiseRegression using observation frequencies.

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

Syntax

public StepwiseRegression(
	double[,] x,
	double[] y,
	double[] weights,
	double[] frequencies
)

Public Sub New ( 
	x As Double(,),
	y As Double(),
	weights As Double(),
	frequencies As Double()
)

public:
StepwiseRegression(
	array<double,2>^ x, 
	array<double>^ y, 
	array<double>^ weights, 
	array<double>^ frequencies
)

new : 
        x : float[,] * 
        y : float[] * 
        weights : float[] * 
        frequencies : float[] -> StepwiseRegression

x: Type: SystemDouble
A double matrix of nObs by nVars, where nObs is the number of observations and nVars is the number of independent variables.
y: Type: SystemDouble
A double array containing the observations of the dependent variable.
weights: Type: SystemDouble
A double array containing the weight for each observation of x.
frequencies: Type: SystemDouble
A double array containing the frequency for each row of x.

Exceptions

Exception	Condition
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
NegativeWeightException	is thrown if a weight is less than zero.
NegativeFreqException	is thrown if a frequency is less than zero.