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LinearRegression_M
Computes linear regression of given point set using selected M-estimator for outlier suppression.
| Name | Type | Range | Description | |
|---|---|---|---|---|
 |
inYValues | RealArray | Sequence of ordinates | |
|
inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | |
|
inOutlierSuppression | MEstimator | ||
|
inClippingFactor | Real | 0.675 - 6.0 | Multitude of standard deviation within which points are considered inliers |
|
inIterationCount | Integer | 0 -  |
Number of iterations of outlier suppressing algorithm |
|
inInitialLinearFunction | LinearFunction* | Initial approximation of the output linear function (if available) | |
 |
outLinearFunction | LinearFunction | Linear function approximating the given point set | |
|
outEstimatedValues | RealArray | The result of application of the computed function to the X values | |
|
outResiduals | RealArray | Difference between an input Y value and the corresponding estimated value | |
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
| Error type | Description |
|---|---|
| DomainError | Inconsistent size of arrays in LinearRegression_M. |
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filter is member of LinearRegression filter group.
