IMsBinaryRegressionTransform.LowerConfidenceLevelTermSet

Syntax

LowerConfidenceLevelTermSet: IMsFormulaTermSet;

Description

The LowerConfidenceLevelTermSet property returns a set of series, to which lower confidence limit data is loaded on problem calculation.

Comments

The set size must be equal to the size of the explained variable set IMsBinaryRegressionTransform.Explained.

Example

Executing the example requires that the repository contains a modeling container with the CONT_MODEL identifier. The container contains a model with the BINREG identifier that uses the binary regression method for calculation. The size of model explanatory variable set is equal to one. This container must also include the LOWER_CONF_LEVEL variable.

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

Sub UserProc;
Var
    MB: IMetabase;
    SpaceDescr: IMetabaseObjectDescriptor;
    MObj: IMetabaseObject;
    Model: IMsModel;
    Trans: IMsFormulaTransform;
    VarTrans: IMsFormulaTransformVariable;
    Tree: IMsFormulaTransformSlicesTree;
    Slice: IMsFormulaTransformSlice;
    Selector: IMsFormulaTransformSelector;
    Formula: IMsFormula;
    Binary: IMsBinaryRegressionTransform;
    Var_out: IMsVariable;
    pF_out: IMsFormulaTransformVariable;
Begin
    MB := MetabaseClass.Active;
    SpaceDescr := mb.ItemById("CONT_MODEL");
    MObj := MB.ItemByIdNamespace("BinReg", SpaceDescr.Key).Edit;
    Model := MObj As IMsModel;
    Trans := Model.Transform;
    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);
    Binary := Formula.Method As IMsBinaryRegressionTransform;
    // Determine variable for loading lower confidence limit data
    Var_out := mb.ItemByIdNamespace("LOWER_CONF_LEVEL", SpaceDescr.Key).Bind As IMsVariable;
    pF_out := Trans.Outputs.Add(Var_out As IVariableStub);
    Binary.LowerConfidenceLevelTermSet.Clear;
    Binary.LowerConfidenceLevelTermSet.Add(pF_out.Slices.Add(Null));
    MObj.Save;
End Sub;

After executing the example, the lower confidence limit data is loaded to the LOWER_CONF_LEVEL variable on problem calculation.