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LinearRegression_M

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Module: FoundationPro

Computes linear regression of given point set using selected M-estimator for outlier suppression.

Name Type Range Description
Input value inYValues RealArray Sequence of ordinates
Input value inXValues RealArray* Sequence of abscissae, or {0, 1, 2, ...} by default
Input value inOutlierSuppression MEstimator
Input value inClippingFactor Real 0.675 - 6.0 Multitude of standard deviation within which points are considered inliers
Input value inIterationCount Integer 0 - Number of iterations of outlier suppressing algorithm
Input value inInitialLinearFunction LinearFunction* Initial approximation of the output linear function (if available)
Output value outLinearFunction LinearFunction Linear function approximating the given point set
Output value outEstimatedValues RealArray The result of application of the computed function to the X values
Output value outResiduals RealArray Difference between an input Y value and the corresponding estimated value
Output value outYInliers RealArray Coordinate of the inlying points of the best line
Output value 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
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.