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 | ||
inXValues | RealArray* | Sequence of abscissae, or {0, 1, 2, ...} by default | ||
inSeedSubsetSize | Integer | 2 - 10 | Number of points in one combination for getting a sample line | |
inEvalSubsetSize | Integer* | 3 - | Number of closest points used for evaluation of a sample line, or Auto if seed points are to be used | |
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 | ||
outYInliers | RealArray | Coordinate of the inlying points of the best LTE line | ||
outXInliers | RealArray | Coordinate of the inlying points of the best LTE line | ||
outLTError | Real | The Least Trimmed Error | ||
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.