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AVL.LinearRegression_LTE

Computes linear regression of given point set using Least Trimmed Error algorithm.

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax

C++
C#
 
public static void LinearRegression_LTE
(
	float[] inYValues,
	float[] inXValues,
	int inSeedSubsetSize,
	int? inEvalSubsetSize,
	out AvlNet.LinearFunction outLinearFunction,
	out float[] outEstimatedValues,
	out float[] outResiduals,
	out float[] outYInliers,
	out float[] outXInliers,
	out float outLTError
)

Parameters

Name Type Range Default Description
inYValuesfloat[]Sequence of ordinates.
inXValuesfloat[]Sequence of abscissae, or {0, 1, 2, ...} by default. Default value: atl::NIL, or null.
inSeedSubsetSizeint<2, 10>3Number of points in one combination for getting a sample line. Default value: 3.
inEvalSubsetSizeint?<3, INF>Number of closest points used for evaluation of a sample line, or Auto if seed points are to be used. Default value: atl::NIL, or null.
outLinearFunctionAvlNet.LinearFunctionLinear function approximating the given point set.
outEstimatedValuesfloat[]The result of application of the computed function to the X values.
outResidualsfloat[]Difference between an input Y value and the corresponding estimated value.
outYInliersfloat[]Coordinate of the inlying points of the best LTE line.
outXInliersfloat[]Coordinate of the inlying points of the best LTE line.
outLTErrorfloatThe Least Trimmed Error.

Errors

Error type Description
DomainError Inconsistent size of arrays in LinearRegression_LTE.
DomainError Empty array of points in LinearRegression_LTE.

See also