Quick |
Class for doing a quick and dirty linear regression with arbitrary base functions provided by the user.
Numerical precision is limited, as it keeps only the XtX matrix; however, it is very fast and needs only little memory.
Cannot handle very large differences between the base functions.
Inheritance HierarchyNamespace: Altaxo.Calc.Regression
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)
SyntaxC#
public class QuickLinearArbitraryBaseRegression
The QuickLinearArbitraryBaseRegression type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | QuickLinearArbitraryBaseRegression(FuncDouble, Double) | Initializes a new instance of the QuickLinearArbitraryBaseRegression class. |
| QuickLinearArbitraryBaseRegression(ActionDouble, VectorDouble, Int32) | Initializes a new instance of the QuickLinearArbitraryBaseRegression class. |
| QuickLinearArbitraryBaseRegression(ActionDouble, VectorDouble, NullableDouble) | Initializes a new instance of the QuickLinearArbitraryBaseRegression class. Here, some parameters can be fixed to given values (null means not fixed). |
| QuickLinearArbitraryBaseRegression(FuncDouble, Double, NullableDouble) | Initializes a new instance of the QuickLinearArbitraryBaseRegression class. Here, some parameters can be fixed to given values. |
Properties
Methods| Name | Description | |
|---|---|---|
| Add | Adds a data point to the regression. |
| AddRange | Adds a sequence of data points to the regression. |
| AdjustedRSquared | Gets the adjusted R squared value. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetConfidenceBand(Double, Double) | Gets the confidence band of the prediction at the specified x value. |
| GetConfidenceBand(IEnumerableDouble, Double) | Gets the confidence band of the prediction for multiple x values. |
| GetCovarianceMatrix | Gets the covariance matrix. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetÎnverseXtXMatrix | Gets the inverse of the XtX matrix. |
| GetParameter | Gets the parameter with the specified index. |
| GetParameterError | Gets the standard error of the specified parameter. |
| GetParameters | Gets the parameters of the regression. |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetYErrorOfX | Gets the mean prediction error of y at the specified x value. |
| GetYOfX | Evaluates the fitted model at the specified x value. |
| GetYOfXFunction | Creates a function that evaluates the fitted model y(x). |
| GetYVarianceOfX | Gets the prediction variance in dependence on x. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| RSquared | Gets the coefficient of determination (R²). |
| Sigma | Returns the standard deviation of the regression. |
| SigmaSquared | Returns the squared standard deviation of the regression. |
| SumChiSquared | Gets the residual sum of squares. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also