You are here: Start » AVL.NET » Function Reference » Data Classification » Regression Analysis
Regression Analysis
| Icon | Name | Description / Applications | Modules | |
|---|---|---|---|---|
 |
LinearRegression | Computes linear regression of given point set. |
FoundationBasic | |
|
LinearRegression_LTE | Computes linear regression of given point set using Least Trimmed Error algorithm. |
FoundationPro | |
|
LinearRegression_M | Computes linear regression of given point set using selected M-estimator for outlier suppression. |
FoundationPro | |
|
LinearRegression_RANSAC | Computes linear regression of given point set using RANSAC. |
FoundationPro | |
|
LinearRegression_TheilSen | Computes linear regression of given point set using TheilSen algorithm. |
FoundationBasic | |
|
QuadraticRegression | Computes quadratic regression of given point set. |
FoundationBasic | |
|
QuadraticRegression_M | Computes quadratic regression of given point set using selected M-estimator for outlier suppression. |
FoundationPro | |
|
QuadraticRegression_RANSAC | Computes quadratic regression of given point set using RANSAC. |
FoundationPro | |
|
Statistics_OfArray | Computes basic statistical information out of an array of real numbers. The array must be not empty. |
FoundationBasic | |
|
Statistics_OfLoop | Computes basic statistical information out of real numbers appearing in consecutive iterations. |
FoundationBasic |
