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mbcmodel.response

Properties and methods for model response objects

    Description

    Use these properties and methods to create and examine model objects.

    Creation

    Create an mbcmodel.response object from a test plan using CreateResponse.

    Properties

    expand all

    Response name, specified as a character vector.

    Data Types: char | string

    This property is read-only.

    Link to MBC model project, specified as an mbcmodel.project object.

    Fitted model, specified as an mbcmodel.model or mbcmodel.linearmodel object.

    This property is read-only.

    Name of signal or response feature being modeled, specified as a character vector.

    This property is read-only.

    Level of response in test plan, specified as a real positive integer.

    Note

    For hierarchical models, Level is usually specified as 0.

    For local models, Level is usually specified as 1.

    For global models of two-stage models, Level is usually specified as 2.

    This property is read-only.

    Names of signals in data that are being modeled, specified as a string vector.

    This property is read-only.

    Total number of tests used in model, specified as a real positive integer.

    This property is read-only.

    Alternative responses for one-stage or response feature models, specified as an array of mbcmodel.response objects.

    Object Functions

    AlternativeModelStatisticsSummary statistics for alternative models
    ChooseAsBestChoose best model from alternative responses
    CreateAlternativeModelsCreate alternative models from model template
    DiagnosticStatisticsDiagnostic statistics for responses and local responses
    DoubleInputDataData being used as input to model
    DoubleResponseDataData being used as output to model for fitting
    ExportMake command-line or Simulink export model
    OutlierIndicesIndices of input data for response marked as outliers
    pevPredicted error variance of model at specified inputs
    PredictedValuePredicted value of model at specified inputs
    RemoveOutliersRemove outliers in input data by index or rule, and refit models
    RestoreDataRestore removed outliers
    SummaryStatisticsSummary statistics for response

    Version History

    Introduced in R2006a