Linear |
The LinearFitBySvd type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate | Fits a data set linear to a given x base. |
 | CorrectedSumOfSquares | Calculates the corrected sum of squares of length elements of array x starting from index start. The corrected sum of squares is defined as sum of squares of the elements minus their mean value. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| ExternallyStudentizedResidual | Gives the ith studentized residual, with the ith observation removed from the model. |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| FitPolymomial | Fits data provided as xcolumn and ycolumn with a polynomial base. Here special measures are taken (scaling of the x-variable) in order to keep the precision high. |
| FitPolymomialDestructive | Fits data provided as xcolumn and ycolumn with a polynomial base. Here special measures are taken (scaling of the x-variable) in order to keep the precision high. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetPolynomialFunctionBase | Gets a default polynomial function base with intercept, i.e. f(y)=a+b*x+c*x*x ... |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| Mean | Calculates the mean value of length elements in array x starting from index start. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| PredictionVariance | Gives the variance of the prediction of the ith y-value. |
| PRESSResidual | Gives the ith PRESS residual. |
| StandardErrorOfParameter | Gets the estimated standard error of parameter i. |
| StudentizedResidual | Gives the ith studentized residual. |
| TofParameter | |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also