IMsModelList.Add

Syntax

Add(Model: IMsModel);

Parameters

Model. Added model.

Description

The Add method adds a model to the collection.

Example

Executing the example requires that the repository contains a modeling container with the CONT_MODEL identifier. This container must include models with the MODEL and MODEL_EX identifiers, and variables with the X1, Y1, X2, and Y2 identifiers.

Sub Main;

Var

Model, Model_ex: IMsModel;

Desc: IMetabaseObjectDescriptor;

obj: IMetabaseObject;

ModelSpace: IMetabaseObjectDescriptor;

mb: IMetabase;

Equations: IMsLinearEquationsTransform;

Method: IMsMethod;

X1, X2, Y1, Y2, XY2, XY1: IMsFormulaTransformVariable;

Outputs, Inputs: IMsFormulaTransformVariables;

Selector: IMsFormulaTransformSelector;

Formula, f1, f2: IMsFormula;

lr: IMsLinearRegressionTransform;

CompositeTerm: IMsCompositeFormulaTerm;

info: IMsFormulaTermInfo;

Trans: IMsFormulaTransform;

vY1, vY2, vX1, vX2: IMsVariable;

Begin

mb := MetabaseClass.Active;

ModelSpace := mb.ItemById("CONT_MODEL");

Desc := mb.ItemByIdNamespace("MODEL", ModelSpace.Key);

obj := Desc.Edit;

Model := obj As IMsModel;

Trans := Model.Transform;

Outputs := Trans.Outputs;

Outputs.Clear;

Inputs := Trans.Inputs;

Inputs.Clear;

Trans.Kind := MsModelKind.LinearEquations;

Method := Model.Transform.EquationsFormula.Method;

Equations := Method As IMsLinearEquationsTransform;

Equations.ExternalEquations.Clear;

Model_ex := mb.ItemByIdNamespace("MODEL_EX", ModelSpace.Key).Bind As IMsModel;

Equations.ExternalEquations.Add(Model_ex);

Equations.MissingData.Method := MissingDataMethod.LinTrend;

// Endogenous variables

vY1 := mb.ItemByIdNamespace("Y1", ModelSpace.Key).Bind As IMsVariable;

vY2 := mb.ItemByIdNamespace("Y2", ModelSpace.Key).Bind As IMsVariable;

vX1 := mb.ItemByIdNamespace("X1", ModelSpace.Key).Bind As IMsVariable;

vX2 := mb.ItemByIdNamespace("X2", ModelSpace.Key).Bind As IMsVariable;

Y1 := Outputs.Add(vY1 As IVariableStub);

Y2 := Outputs.Add(vY2 As IVariableStub);

X1 := Inputs.Add(vX1 As IVariableStub);

X2 := Inputs.Add(vX2 As IVariableStub);

XY2 := Inputs.Add(vY2 As IVariableStub);

XY1 := Inputs.Add(vY1 As IVariableStub);

// First equation in the system

Selector := Model.Transform.CreateSelector;

Selector.Slice := Y1.Slices.Add(Null);

Trans := Model.Transform;

Formula := Trans.Transform(Selector);

Formula.Kind := MsFormulaKind.LinearRegression;

lr := Formula.Method As IMsLinearRegressionTransform;

lr.MissingData.Method := MissingDataMethod.PrevValue;

lr.HasConstant := True;

CompositeTerm := lr.Explanatories.Add;

info := trans.CreateTermInfo;

info.Slice := X1.Slices.Add(Null);

CompositeTerm.Expression.AsString := info.TermInnerText;

CompositeTerm := lr.Explanatories.Add;

info := trans.CreateTermInfo;

info.Slice := XY2.Slices.Add(Null);

CompositeTerm.Expression.AsString := info.TermInnerText;

f1 := Formula;

Equations.EstimateSimultaneously(f1) := True;

// Second equation in the system

Selector := Model.Transform.CreateSelector;

Selector.Slice := Y2.Slices.Add(Null);

Trans := Model.Transform;

Formula := Trans.Transform(Selector);

Formula.Kind := MsFormulaKind.LinearRegression;

lr := Formula.Method As IMsLinearRegressionTransform;

lr.HasConstant := False;

CompositeTerm := lr.Explanatories.Add;

info := trans.CreateTermInfo;

info.Slice := X2.Slices.Add(Null);

CompositeTerm.Expression.AsString := info.TermInnerText;

CompositeTerm := lr.Explanatories.Add;

info := trans.CreateTermInfo;

info.Slice := XY1.Slices.Add(Null);

CompositeTerm.Expression.AsString := info.TermInnerText;

f2 := Formula;

Equations.EstimateSimultaneously(f2) := True;

obj.Save;

End Sub Main;

After executing the example the system of simultaneous equations, containing two equations of linear regression and one external model, is created.