Back to Adaptive Vision Studio website

You are here: Start » Filter Reference » Data Classification » Regression Analysis » LinearRegression_LTE

LinearRegression_LTE


Module: FoundationPro

Computes linear regression of given point set using Least Trimmed Error algorithm.

Name Type Range Description
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
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.