IMsFormulaTermInfo.Assign

Syntax

Assign(TermInfo: IMsFormulaTermInfo);

Parameters

TermInfo. Term parameters that should be set for this term.

Description

The Assign method sets parameters of the current term in accordance with parameters of a specified term.

Comments

When this method is called, all term properties are set, except for IMsFormulaTermInfo.Slice.

Example

Executing the example requires that the repository contains a modeling container with the KONT_MODEL identifier. This container contains a modeling problem with the NEW_NONLINREG identifier that uses the non-linear regression method for calculation. The container also contains a the VAR_FACTOR1 modeling variable that is added to the model.

Add links to the Cubes, Metabase, Ms system assemblies.

Sub UserProc;
Var
    MB: IMetabase;
    Kont: IMetabaseObjectDescriptor;
    MObj: IMetabaseObject;
    Model: IMsModel;
    Trans: IMsFormulaTransform;
    Varr: IVariableStub;
    TransVar: IMsFormulaTransformVariable;
    Slice: IMsFormulaTransformSlice;
    NonLinear: IMsNonLinearRegressionTransform;
    Oper: IMsFormulaTermList;
    Term: IMsFormulaTerm;
    Info: IMsFormulaTermInfo;
Begin
    MB := MetabaseClass.Active;
    Kont := MB.ItemById("KONT_MODEL");
    MObj := MB.ItemByIdNamespace("New_NonLinReg",Kont.Key).Edit;
    Model := MObj As IMsModel;
    Trans := Model.Transform;
    Varr := MB.ItemByIdNamespace("Var_Factor1",Kont.Key).Bind As IVariableStub;
    TransVar := Trans.Inputs.Add(Varr);
    Slice := TransVar.SlicesTree(TransVar).CreateSlice(1);
    NonLinear := Trans.FormulaItem(0).Method As IMsNonLinearRegressionTransform;
    Oper := NonLinear.Operands;
    Term := Oper.Add(Slice);
    Info := Term.TermInfo;
    Info.Assign(Oper.Item(0).TermInfo);
    Term.TermInfo := Info;
    NonLinear.Expression.AsString := NonLinear.Expression.AsString + "*" + Info.TermInnerText;
    MObj.Save;
End Sub UserProc;

After executing the example the VAR_FACTOR1 variable is added to the model. Parameters of the term, that corresponds to a slice of the given variable, are set up according to parameters of the first term, that exists in the list. The new term is also added to the model equation.