How to build approximation line
Examples:
Regression line through a series of points
Follow these steps to build the regression line:

 To select series of points in list, double
click on it.
 The dialog 'Information on points series' will appear.
 Click the button <Function...>
 The Wizard of approximation starts.
 On a step 1 we choose relation Y = f( X ).
 On a step 2 we choose 'Regression line'.
 On a step 3 we choose ''Polynomial'.
 On a step 4 we select polynomial degree 1.
 Recalculate.
 Put information string on the Clipboard.
 On a step 5 we select color and width of line.
 Regression line was build.
 Click button
and paste information string.

Using the neural network approximation
Follow these steps to use the neural network:

 To select series of points in list, double
click on it.
 The dialog 'Information on points series' will appear.
 Click the button <Function...>.
 The Wizard of approximation starts.
 On a step 1 we choose relation Y = f( X ).
 On a step 2 we choose 'Neural network'.
 On a step 3 we choose 300 iterations.
 On a step 4 we select 20 neurons.
 Recalculate.
 If failed, we select 12 neurons.
 Recalculate.
 On a step 5 we select color and width of line.
 Approximation line was build.

Using the nonlinear fitting
Follow these steps to use the nonlinear fitting:

 To select series of points in list, double
click on it.
 The dialog 'Information on points series' will appear.
 Click the button <Function...>.
 The Wizard of approximation starts.
 On a step 1 we choose relation Y = f( X ).
 On a step 2 we choose 'Nonlinear'.
 On a step 3 we input desirable formula
with parameter (a) Y( u ) = u + a*sin(u).
 Define initial values of the fitting parameters and click the button <Preview>.
 New graph will appear. See how fit curve conforms your data.
 On a step 4 recalculate. It may take a lot of time for slow computers.
 On a step 5 we select color and width of line.
 Approximation line was build.

Important: The expression must be composed from internal functions
(see formula for more
details), operators and only following parameters: a, b, c, d. The result
of your fitting session critically depends
on initial values of parameters.
Examples:
 Y( u ) = a + b*u^2.5 + c*u^4;
 Y( u ) = a + b/u + c * exp( u/10 );
 Y( u ) = 5+ a*besselj0( u );
 Y( u ) = 5+ a*normal( u, c);
Trick: View Log Fitting Window
to discover the best model to describe your data.
Best curve fit
Follow these steps to find the best curve fit:

 To select series of points in list, click on it.
 select menu item <Fit><Best Function>
or click on button .
 The Wizard starts.
 On a step 1 we choose X and Y ranges.
 On a step 2 we check groups of functions.
 On a step 3 we click on button Start.
Fitting process will run. It may take a lot of time for slow computers.
 New graphs will appear. See how fit curves conform your data.
 Select the number of best fit functions to plot. Only this functions will be saved.
 Several approximation lines were build.

Spline through all points inside area
Follow these steps to build the spline:

 Select and create area around points.
 Select editor mode
 Click left inside the rectangle area.
 The dialog 'Information on selected area' will appear.
 Click the button <Function...>
 The Wizard of approximation starts.
 On a step 1 we choose relation Y = f( X ).
 On a step 2 we choose 'Closed spline'.
 On a step 4 we select points of spline 6X6.
 On a step 5 we select color and width of line.
 Spline was build.

Sections through all red points inside selected area
Follow these steps to build the sections:

 Select and create area around points.
 Use to select area.
 Select the current color  red
 Click right button on area. Popup menu will appear.
 Select item <Function through red selected points>.
 The Wizard of approximation starts.
 On a step 1 we choose relation Y = f( X ).
 On a step 2 we choose 'Sections'.
 On a step 4 we select nodes of net 50.
 On a step 5 we select color and width of line.
 Sections were build.
