Public Instance Constructors
 GeneralLinear Constructor | Creates a new GeneralLinear instance. |
Public Instance Methods
| BestFitValue | Evaluates the value of the fitted regression function of best fit at a given point. |
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| FTest | Evaluates the F-Test Statistic for the (multi-linear) regression considered. |
| GetChiSquare | Gets the value of the Chi-Squared measure of goodness-of-fit. |
| GetCoefficients | Gets the greatest likelihood coefficients of the function of best fit in accordance with the least squares approach for the function basis given. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetResiduals | Evaluates the residuals for the (multi-linear) regression considered. |
| GetType (inherited from Object) | Gets the Type of the current instance. |
| MeanSquaresError | Evaluates the mean square due to error (MSE) for the (multi-linear) regression considered. |
| MeanSquaresRegression | Evaluates the mean square due to regression (MSR) for the (multi-linear) regression considered. |
| RSquared | Evaluates the multiple R2 (aka multiple coefficient of determination) of the (multi-linear) regression considered. |
| RSquaredAdjusted | Evaluates the Adjusted R2 (aka Adjusted Multiple Coefficient of Determination) of the (multi-linear) regression considered. |
| SetFunctionBasis | Sets the function basis you wish to use in order to construct the function you wish to fit to the data set. |
| SetGeneralFit | Evaluates the greatest likelihood coefficients of the function of best fit in accordance with the least squares approach for the function basis given (i.e. fitting the function). |
| StandardError | Evaluates the Standard Error of the Estimate (or Standard Deviation of the Regression) of the (multi-linear) regression considered. |
| SumSquaresError | Evaluates the sum of the squares due to error (often referred to as SSE) for the (multi-linear) regression considered. |
| SumSquaresRegression | Evaluates the Sum of Squares Due to Regression (SSR) for the (multi-linear) regression considered. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
| TotalSumSquares | Evaluates the Total Sum of Squares (SST) for the (multi-linear) regression considered. |
Protected Instance Methods
 Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
| MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
See Also
GeneralLinear Class | WebCab.Libraries.Statistics.CurveFitting Namespace