Click or drag to resize

MultipleRegressionDirectMethodT(T, T, Boolean, DirectRegressionMethod) Method

Find the model parameters β such that their linear combination with all predictor-arrays in X become as close to their response in Y as possible, with least squares residuals.

Namespace: Altaxo.Calc.LinearRegression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
Copy
public static T[] DirectMethod<T>(
	T[][] x,
	T[] y,
	bool intercept = false,
	DirectRegressionMethod method = DirectRegressionMethod.NormalEquations
)
where T : struct, new(), IEquatable<T>, IFormattable

Parameters

x  T
List of predictor-arrays.
y  T
List of responses
intercept  Boolean  (Optional)
True if an intercept should be added as first artificial predictor value. Default = false.
method  DirectRegressionMethod  (Optional)
The direct method to be used to compute the regression.

Type Parameters

T

[Missing <typeparam name="T"/> documentation for "M:Altaxo.Calc.LinearRegression.MultipleRegression.DirectMethod``1(``0[][],``0[],System.Boolean,Altaxo.Calc.LinearRegression.DirectRegressionMethod)"]

Return Value

T
Best fitting list of model parameters β for each element in the predictor-arrays.
See Also