Start » Filter Reference » Data Classification » Regression Analysis » LinearRegression_M
Module: | FoundationPro |
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Computes linear regression of given point set using selected M-estimator for outlier suppression.
Name | Type | Range | Description | |
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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 | ||
outYInliers | RealArray | Coordinate of the inlying points of the best line | ||
outXInliers | RealArray | Coordinate of the inlying points of the best line |
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 | Inconsistent size of arrays in LinearRegression_M. |
Complexity Level
This filter is available on Advanced Complexity Level.
Filter Group
This filter is member of LinearRegression filter group.