IMsFormulaTerm.Lag

Syntax

Lag: IExpression;

Description

The Lag property returns an object that determines the term lag value.

Example

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.