 | MultipleRegressionDirectMethodT Method (Matrix`1T, Matrix`1T, DirectRegressionMethod) |
Find the model parameters β such that X*β with predictor X becomes as close to response Y as possible, with least squares residuals.
Namespace: MathNet.Numerics.LinearRegression
Assembly: MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
SyntaxC#
public static Matrix<T> DirectMethod<T>( Matrix<T> x, Matrix<T> y, DirectRegressionMethod method = DirectRegressionMethod.NormalEquations ) where T : struct, new(), IEquatable<T>, IFormattable
Parameters
- x
- Type: MatrixT
Predictor matrix X - y
- Type: MatrixT
Response matrix Y - method (Optional)
- Type: MathNet.Numerics.LinearRegressionDirectRegressionMethod
The direct method to be used to compute the regression.
Type Parameters
- T
Return Value
Type: MatrixTBest fitting vector for model parameters β
See Also