Add: IMsCompositeFormulaTerm;
The Add method creates a composite term.
Sub Main;
Var
MB: IMetabase;
CrInf: IMetabaseObjectCreateInfo;
MObj: IMetabaseObject;
Model: IMsModel;
Trans: IMsFormulaTransform;
VarTrans: IMsFormulaTransformVariable;
Tree: IMsFormulaTransformSlicesTree;
Slice: IMsFormulaTransformSlice;
Selector: IMsFormulaTransformSelector;
Formula: IMsFormula;
LinReg: IMsLinearRegressionTransform;
Varr: IMsVariable;
TransVar: IMsFormulaTransformVariable;
ComposForm: IMsCompositeFormulaTermList;
ComposTerm: IMsCompositeFormulaTerm;
TermX1, TermX2: IMsFormulaTerm;
Begin
MB := MetabaseClass.Active;
//create a model
CrInf := Mb.CreateCreateInfo;
CrInf.ClassId := MetabaseObjectClass.KE_CLASS_MSMODEL;
CrInf.Id := "New_LinReg";
CrInf.Name := "New_LinReg";
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.LinearRegression;
LinReg := Formula.Method As IMsLinearRegressionTransform;
//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);
ComposForm := LinReg.Explanatories;
ComposTerm := ComposForm.Add;
Slice := TransVar.SlicesTree(Null).CreateSlice(1);
TermX1 := ComposTerm.Operands.Add(Slice);
Slice := TransVar.SlicesTree(Null).CreateSlice(2);
TermX2 := ComposTerm.Operands.Add(Slice);
ComposTerm.Expression.AsString := Trans.SliceToTerm(TermX1.Slice, TermX1.Lag.AsString) + "/" + Trans.SliceToTerm(TermX2.Slice, TermX2.Lag.AsString);
MObj.Save;
End Sub Main;
After executing the example a new model is created in the modeling container. The output variable and one factor are added to the created model. For the equation of model the composite term that contains two terms, referring to slices of the first input variable, is created. The method of linear regression is used for model calculation.
See also: