CreateSlice(Element: Integer): IMsFormulaTransformSlice;
Element. Element index.
The CreateSlice method creates a slice in the variable, to which the element of a tree with the index Element corresponds.
Sub Main;
Var
MB: IMetabase;
CrInf: IMetabaseObjectCreateInfo;
MObj: IMetabaseObject;
Model: IMsModel;
Trans: IMsFormulaTransform;
VarTrans: IMsFormulaTransformVariable;
Tree: IMsFormulaTransformSlicesTree;
Slice: IMsFormulaTransformSlice;
Selector: IMsFormulaTransformSelector;
Formula: IMsFormula;
NonLinear: IMsNonLinearRegressionTransform;
Varr: IMsVariable;
TransVar: IMsFormulaTransformVariable;
TermX1: IMsFormulaTerm;
s: String;
Begin
MB := MetabaseClass.Active;
//create a model
CrInf := Mb.CreateCreateInfo;
CrInf.ClassId := MetabaseObjectClass.KE_CLASS_MSMODEL;
CrInf.Id := "New_NonLinReg";
CrInf.Name := "New_NonLinReg";
CrInf.Parent := Mb.ItemById("KONT_MODEL");
CrInf.Permanent := False;
MObj := Mb.CreateObject(CrInf).Edit;
Model := MObj As IMsModel;
Trans := Model.Transform;
// add output variable
Varr := MB.ItemByIdNamespace("Var_1", MB.ItemById("KONT_MODEL").Key).Bind As IMsVariable;
Model.Output.Add(Varr);
VarTrans := Trans.Outputs.Item(0);
Tree := VarTrans.SlicesTree(VarTrans);
Slice := Tree.CreateSlice(1);
Selector := Model.Transform.CreateSelector;
Selector.Slice := Slice;
Formula := Model.Transform.Transform(Selector);
Formula.Kind := MsFormulaKind.NonLinearRegression;
NonLinear := Formula.Method As IMsNonLinearRegressionTransform;
//adding a factor
Varr := MB.ItemByIdNamespace("Var_Factor", MB.ItemById("KONT_MODEL").Key).Bind As IMsVariable;
Model.Input.Add(Varr);
TransVar := Model.Transform.Inputs.Item(0);
//comparison of term to the slice in the variable
TermX1 := NonLinear.Operands.Add(TransVar.SlicesTree(VarTrans).CreateSlice(1));
//changing term parameters
TermX1.Inversion := MsInversion.DLog;
TermX1.InversionLag := MsInversionLag.PrecidingYear;
TermX1.UpdateSlice(TermX1.Slice, "-1");
//creation of the equation
s := "A0+" + TermX1.TermToInnerText + "/10 ";
NonLinear.Expression.AsString := s;
MObj.Save;
End Sub Main;
After executing the example, a new model is created in the modeling container. An output variable and one input variable are added to the created model. To compose the equation the term that refers to the input variable slice is created. The way of initial transformation of data and lag is changed for the term. The method of non-linear regression is used for model calculation.
See also: