IMsNonLinearRegressionTransform.Operands

Syntax

Operands: IMsFormulaTermList;

Description

The Operands property returns the collection of terms used to compile the model equation.

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));

//creation of the equation

s := "A0+" + TermX1.TermToInnerText + "/10 " + "/A1";

NonLinear.Expression.AsString := s;

MObj.Save;

End Sub Main;

After executing the example, a new model is created in the modeling container. The method of non-linear regression is used for model calculation. 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.