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WeightedRegressionWeightedT Method (Matrix`1T, Vector`1T, Matrix`1T)
Weighted Linear Regression using normal equations.

Namespace:  MathNet.Numerics.LinearRegression
Assembly:  MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
Syntax
C#
Copy
public static Vector<T> Weighted<T>(
	Matrix<T> x,
	Vector<T> y,
	Matrix<T> w
)
where T : struct, new(), IEquatable<T>, IFormattable

Parameters

x
Type: MatrixT
Predictor matrix X
y
Type: VectorT
Response vector Y
w
Type: MatrixT
Weight matrix W, usually diagonal with an entry for each predictor (row).

Type Parameters

T

Return Value

Type: VectorT

[Missing <returns> documentation for "M:MathNet.Numerics.LinearRegression.WeightedRegression.Weighted``1(MathNet.Numerics.LinearAlgebra.Matrix{``0},MathNet.Numerics.LinearAlgebra.Vector{``0},MathNet.Numerics.LinearAlgebra.Matrix{``0})"]

See Also