Start » Filter Reference » Data Classification » Regression Analysis » LinearRegression_TheilSen
Module: | FoundationBasic |
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Computes linear regression of given point set using TheilSen algorithm.
Name | Type | Description | |
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inYValues | RealArray | Sequence of ordinates | |
inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | |
inVariant | TheilSenVariant | Switches between Theil-Sen and Siegel methods | |
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 |
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DomainError | Empty array of points in LinearRegression_TheilSen. |
DomainError | Inconsistent size of arrays in LinearRegression_TheilSen. |
Complexity Level
This filter is available on Advanced Complexity Level.
Filter Group
This filter is member of LinearRegression filter group.