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AVL.LinearRegression_M Method
Computes linear regression of given point set using selected M-estimator for outlier suppression.
| Namespace: | AvlNet |
|---|---|
| Assembly: | AVL.NET.dll |
Syntax
public static void LinearRegression_M( float[] inYValues, AvlNet.MEstimator inOutlierSuppression, float inClippingFactor, int inIterationCount, out AvlNet.LinearFunction outLinearFunction, out float[] outEstimatedValues, out float[] outResiduals )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
 | inYValues | float | Sequence of ordinates. | ||
| inOutlierSuppression | AvlNet.MEstimator | |||
| inClippingFactor | float | <0.675f, 6.0f> | 2.5f | Multitude of standard deviation within which points are considered inliers. Default value: 2.5f. |
| inIterationCount | int | <0, INF> | 5 | Number of iterations of outlier suppressing algorithm. Default value: 5. |
 | outLinearFunction | AvlNet.LinearFunction | Linear function approximating the given point set. | ||
| outEstimatedValues | float | The result of application of the computed function to the X values. | ||
| outResiduals | float | Difference between an input Y value and the corresponding estimated value. |
Errors
| Error type | Description |
|---|---|
| DomainError | Inconsistent size of arrays in LinearRegression_M. |
