QRRegression |
The QRRegressionCalculation type exposes the following members.
| Name | Description | |
|---|---|---|
| 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. |