Non-Linear Regression

The method executes non-linear data transformation. To set up method parameters, use the Equation side panel tab.

Method parameters:

Confidence Limits Relevance. Set the confidence limits relevance level for a forecasting series. Values are obtained from the range (0; 1). The default value is 0.95.

TIP. To edit initial values of coefficients, use the Specification tab on the results panel.

Setting Up Non-Linear Regression Estimation Parameters

To set up non-linear regression estimation parameters, use the Estimation Parameters side panel tab.

Non-linear regression system parameters:

Calculation Accuracy. Specify accuracy of equation calculations. The minimum value is 0.00001. The default value is 0.0001.
Maximum Number of Iterations. Set the maximum number of iterations, during which non-linear regression coefficients estimations should be obtained. When the number of iterations is large, the accuracy of calculation is the highest, but more time is spent.
Minimum value: 1; default value: 500.
Estimation Method. Use the drop-down list to select the estimation method for non-linear regression coefficients.
Use Analytical Derivatives. Selecting this checkbox increases calculation accuracy by calculating analytical derivatives for the non-linear regression equation.
Use Default Initial Approximations. The checkbox is selected by default, and default initial approximations of equation coefficients are used for calculation. If the checkbox is deselected, custom initial approximations are used. To view and edit initial values, use the Specification tab on the results panel.