Fitted: Array;
The Fitted property returns an array of modeling series values.
Values are available after method calculation.
Add a link to the Stat system assembly.
Sub Print(Data: Array Of Double);
Var
i: Integer;
d: Double;
Begin
For i := 0 To Data.Length - 1 Do
If Double.IsNan(Data[i]) Then
Debug.WriteLine(i.ToString + ", ---empty---");
Else
d := Data[i];
Debug.WriteLine(i.ToString + ", " + d.ToString);
End If;
End For;
End Sub Print;
Sub UserProc;
Var
ar1, ar2: Array[0..15] Of Double;
j, res: Integer;
vars: ISmVectorAutoRegress;
Eqs: ISlEquations;
Eq: ISlEquation;
ARO: Array[0..0] Of Integer;
Begin
vars := New SmVectorAutoRegress.Create;
// Set values for variables
ar1[0] := 3; ar2[0] := 5;
ar1[1] := 8; ar2[1] := 3;
ar1[2] := 12; ar2[2] := 9;
ar1[3] := 10; ar2[3] := 13;
ar1[4] := 26; ar2[4] := 25;
ar1[5] := 21; ar2[5] := 21;
ar1[6] := 35; ar2[6] := 30;
ar1[7] := 29; ar2[7] := 33;
ar1[8] := 40; ar2[8] := 43;
ar1[9] := 39; ar2[9] := 37;
ar1[10] := 51; ar2[10] := 49;
ar1[11] := 50; ar2[11] := 47;
ar1[12] := 59; ar2[12] := 60;
ar1[13] := 58; ar2[13] := 59;
ar1[14] := 65; ar2[14] := 69;
ar1[15] := 72; ar2[15] := 68;
ARO[0] := 1;
Eqs := vars.Equations;
Eq := Eqs.Add;
// Determine explained series
Eq.Serie.Value := ar1;
// Determine autoregression orders
Eq.AutoRegressionOrder := ARO;
// Determine the last forecast point
Eq.Forecast.LastPoint := 16;
// Determine parameters of equation constant
Eq.Intercept.Mode := InterceptMode.AutoEstimate;
Eq := Eqs.Add;
// Determine explained series
Eq.Serie.Value := ar2;
// Determine autoregression orders
Eq.AutoRegressionOrder := ARO;
// Determine the last forecast point
Eq.Forecast.LastPoint := 16;
// Determine parameters of equation constant
Eq.Intercept.Mode := InterceptMode.AutoEstimate;
// Define parameters of sample period
vars.ModelPeriod.FirstPoint := 1;
vars.ModelPeriod.LastPoint := 16;
// Run calculation and show results
res := vars.Execute;
If res <> 0 Then
Debug.Writeline(vars.Errors);
Else
For j := 0 To Eqs.Count - 1 Do
Debug.WriteLine("=== Modeling series for equation " + j.ToString + " ===");
Print(Eqs.Item(j).Fitted);
End For;
End If;
End Sub UserProc;
After executing the example the console window displays modeling series of vector autoregression equations:
See also: