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WeightedRegressionWeightedT Method (T, T, T, Boolean)
Weighted Linear Regression using normal equations.

Namespace:  MathNet.Numerics.LinearRegression
Assembly:  MathNet.Numerics (in MathNet.Numerics.dll) Version: 3.7
Syntax
C#
public static T[] Weighted<T>(
	T[][] x,
	T[] y,
	T[] w,
	bool intercept = false
)
where T : struct, new(), IEquatable<T>, IFormattable

Parameters

x
Type: T
Predictor matrix X
y
Type: T
Response vector Y
w
Type: T
Weight matrix W, usually diagonal with an entry for each predictor (row).
intercept (Optional)
Type: SystemBoolean
True if an intercept should be added as first artificial predictor value. Default = false.

Type Parameters

T

Return Value

Type: T

[Missing <returns> documentation for "M:MathNet.Numerics.LinearRegression.WeightedRegression.Weighted``1(``0[][],``0[],``0[],System.Boolean)"]

See Also