Start » Filter Reference » Data Classification » Regression Analysis » LinearRegression_LTE
Module: | FoundationPro |
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Computes linear regression of given point set using Least Trimmed Error algorithm.
Name | Type | Range | Description | |
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inYValues | RealArray | Sequence of ordinates | |
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inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | |
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inSeedSubsetSize | Integer | 2 - 10 | Number of points in one combination for getting a sample line |
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inEvalSubsetSize | Integer* | 3 - ![]() |
Number of closest points used for evaluation of a sample line, or Auto if seed points are to be used |
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outLinearFunction | LinearFunction | Linear function approximating the given point set | |
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outEstimatedValues | RealArray | The result of application of the computed function to the X values | |
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outResiduals | RealArray | Difference between an input Y value and the corresponding estimated value | |
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outYInliers | RealArray | Coordinate of the inlying points of the best LTE line | |
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outXInliers | RealArray | Coordinate of the inlying points of the best LTE line | |
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outLTError | Real | The Least Trimmed Error | |
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diagIterationCount | Integer | Number of combinations considered |
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_LTE. |
DomainError | Inconsistent size of arrays in LinearRegression_LTE. |
Complexity Level
This filter is available on Expert Complexity Level.
Filter Group
This filter is member of LinearRegression filter group.