Linear |
The LinearFitBySvd type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate | Fits a data set linearly to a given design matrix. |
 | CorrectedSumOfSquares | Calculates the corrected sum of squares of length elements in x, starting at index start. |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| ExternallyStudentizedResidual | Returns the i-th studentized residual, with the i-th 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 x and y sequences with a polynomial base. |
| FitPolymomialDestructive | Fits data provided as x and y arrays with a polynomial base. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetPolynomialFunctionBase | Gets a default polynomial function base with intercept, i.e. 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 x, starting at index start. |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| PredictionVariance | Returns the variance of the prediction of the i-th y-value. |
| PRESSResidual | Returns the i-th PRESS residual. |
| StandardErrorOfParameter | Gets the estimated standard error of parameter i. |
| StudentizedResidual | Returns the i-th studentized residual. |
| TofParameter | Gets the absolute t-statistic of parameter i. |
| ToString | Returns a string that represents the current object. (Inherited from Object) |
See Also