CreateSlice(Element: Integer): IMsFormulaTransformSlice;
Element. Element index.
The CreateSlice method creates a slice in variable.
Sub UserProc;
Var
MB: IMetabase;
CrInf: IMetabaseObjectCreateInfo;
MObj: IMetabaseObject;
Model: IMsModel;
Trans: IMsFormulaTransform;
VarTrans: IMsFormulaTransformVariable;
Tree: IMsFormulaTransformSlicesTree;
Slice: IMsFormulaTransformSlice;
Selector: IMsFormulaTransformSelector;
Formula: IMsFormula;
NonLinear: IMsNonLinearRegressionTransform;
Varr: IMsVariableStub;
TransVar: IMsFormulaTransformVariable;
TermX1: IMsFormulaTerm;
TermInfo: IMsFormulaTermInfo;
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 an output variable
Varr := MB.ItemByIdNamespace("Var_1", MB.ItemById("KONT_MODEL").Key).Bind As IMsVariableStub;
Trans.Outputs.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;
//add a factor
Varr := MB.ItemByIdNamespace("Var_Factor", MB.ItemById("KONT_MODEL").Key).Bind As IMsVariableStub;
Trans.Inputs.Add(Varr);
TransVar := Model.Transform.Inputs.Item(0);
//compare the term to the slice in variable
TermX1 := NonLinear.Operands.Add(TransVar.SlicesTree(VarTrans).CreateSlice(1));
//change term parameters
TermInfo := TermX1.TermInfo;
TermInfo.Lag := "-1";
//create an equation
s := "A0+" + TermX1.TermToInnerText + "/10 ";
NonLinear.Expression.AsString := s;
MObj.Save;
End Sub UserProc;
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.
See also: