﻿QRRegressionCalculation Methods   # QRRegressionCalculation Methods

The QRRegressionCalculation type exposes the following members. Methods
NameDescription CalculateParameters(DoubleMatrix, DoubleVector)
Calculates the parameters for the regression using a QR decomposition of the regression matrix to solve the least squares problem. CalculateParameters(DoubleMatrix, DoubleVector, Boolean)
Calculates the parameters for the regression using a QR decomposition of the regression matrix to solve the least squares problem. Clone
Creates a deep copy of this regression calculator instance. Factor(DoubleMatrix)
Factors a given matrix so that it may be used to solve least squares problems. Factor(DoubleMatrix, Double)
Factors a given matrix so that it may be used to solve least squares problems. The specified tolerance is used in computing the numerical rank of the matrix. Factor(DoubleMatrix, Double, Boolean)
Factors a given matrix so that it may be used to solve least squares problems. The specified tolerance is used in computing the numerical rank of the matrix. ResidualNormSqr
Computes the 2-norm squared of the residual vector. ResidualVector
Computes and returns the residual vector. Solve
Computes the solution to the least squares problem Ax = b.
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