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MultipleRegressionNormalEquationsT Method (Matrix`1T, Vector`1T)
Find the model parameters β such that X*β with predictor X becomes as close to response Y as possible, with least squares residuals. Uses the cholesky decomposition of the normal equations.

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

Parameters

x
Type: MatrixT
Predictor matrix X
y
Type: VectorT
Response vector Y

Type Parameters

T

Return Value

Type: VectorT
Best fitting vector for model parameters β
See Also