Back to Aurora Vision Studio website

You are here: Start » Filter Reference » Data Classification » Regression Analysis » QuadraticRegression (QuadraticRegression LSE)

QuadraticRegression (QuadraticRegression LSE)

Advanced

Module: FoundationBasic

Computes quadratic regression of given point set.

Name Type Description
Input value inYValues RealArray Sequence of ordinates
Input value inXValues RealArray* Sequence of abscissae, or {0, 1, 2, ...} by default
Output value outQuadraticFunction QuadraticFunction Quadratic 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 outRSquared Real Coefficient of determination of output function

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 QuadraticRegression.

Complexity Level

This filter is available on Advanced Complexity Level.

Filter Group

This filter is member of QuadraticRegression filter group visible as LSE.