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QRRegressionCalculation Methods

The QRRegressionCalculation type exposes the following members.

Methods
  NameDescription
Public methodCalculateParameters(DoubleMatrix, DoubleVector)
Calculates the parameters for the regression using a QR decomposition of the regression matrix to solve the least squares problem.
Public methodCalculateParameters(DoubleMatrix, DoubleVector, Boolean)
Calculates the parameters for the regression using a QR decomposition of the regression matrix to solve the least squares problem.
Public methodClone
Creates a deep copy of this regression calculator instance.
Public methodFactor(DoubleMatrix)
Factors a given matrix so that it may be used to solve least squares problems.
Public methodFactor(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.
Public methodFactor(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.
Public methodResidualNormSqr
Computes the 2-norm squared of the residual vector.
Public methodResidualVector
Computes and returns the residual vector.
Public methodSolve
Computes the solution to the least squares problem Ax = b.
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