Fit Models to Data

Fit one-stage, two-stage, and point-by-point models

Use the MBC Model Fitting app to fit one-stage, two-stage, and point-by-point models. For more information, see What Models Are Available? and Two-Stage Models for Engines.

Apps

Create experimental designs and statistical models for model-based calibration

`mbcmodel.project`	Properties and methods for project objects
`mbcmodel.testplan`	Properties and methods for test plan objects

`CopyData`	Create data object from copy of existing object
`CreateData`	Create data object in a project object
`CreateTestplan`	Create new test plan
`Load`	Load existing project file
`New`	Create new project file
`Remove`	Remove project model
`RemoveData`	Remove data from project
`Save`	Save project

`AddDesign`	Add design to test plan
`AttachData`	Attach data from project to test plan
`BoundaryModel`	Get boundary model from test plan
`CreateDesign`	Create design object for test plan or model
`CreateResponse`	Create response model for test plan
`DetachData`	Detach data from test plan
`FindDesign`	Find test plan design by name
`InputSetupDialog`	Open Input Setup dialog box to edit inputs
`RemoveDesign`	Remove design from test plan
`UpdateDesign`	Update design in test plan

`AliasMatrix`	Alias matrix for linear model parameters
`BoxCoxSSE`	SSE and confidence interval for Box-Cox transformations
`Correlation`	Correlation matrix for linear model parameters
`Covariance`	Covariance matrix for linear model parameters
`MultipleVIF`	Multiple VIF matrix for linear model parameters
`ParameterStatistics`	Calculate parameter statistics for linear model
`PartialVIF`	Partial VIF matrix for linear model parameters
`SingleVIF`	Single VIF matrix for linear model parameters
`StepwiseRegression`	Change stepwise selection status for specified terms

`xregstatsmodel`	Class for evaluating models and calculating prediction error variance (PEV)
`CreateDesign`	Create design object for test plan or model
`Evaluate`	Evaluate model, boundary model, or design constraint
`Export`	Make command-line or Simulink export model
`fit`	Fit model or boundary model to new or existing data, and provide summary statistics
`getAlternativeTypes`	Alternative model or design types
`InputSetupDialog`	Open Input Setup dialog box to edit inputs
`Jacobian`	Calculate Jacobian matrix for model at existing or new data points
`ModelSetup`	Open Model Setup dialog box where you can alter model type
`pev`	Predicted error variance of model at specified inputs
`PredictedValue`	Predicted value of model at specified inputs
`StatisticsDialog`	Open summary statistics dialog box
`SummaryStatistics`	Summary statistics for response
`UpdateResponse`	Replace model in response
`ValidationRMSE`	Calculates the validation RMSE for model data

`mbcmodel.fitalgorithm`	Properties and methods for model fit algorithm objects
`CreateAlgorithm`	Create algorithm
`getAlternativeNames`	List alternative algorithm names
`IsAlternative`	Alternative fit algorithm status
`SetupDialog`	Open fit algorithm setup dialog box

`mbcmodel.linearmodelparameters`	Properties for `linearmodelparameters` model objects
`mbcmodel.gpmparameters`	Properties for model `gpmparameters` objects

`mbcmodel.linearmodelproperties`	Properties and methods for linear model property objects
`GetAllTerms`	List all model terms
`GetIncludedTerms`	List included model terms
`SetTermStatus`	Set status of model terms
`GetTermLabel`	List labels for model terms
`GetTermStatus`	List status of some or all model terms

Fit a One-Stage Model
Fit a one-stage model for data with no hierarchical structure.
Fit a Two-Stage Model
Fit a two-stage model for data with local and global inputs.
Fit a Point-by-Point Model
Use point-by-point models to try fitting data to a variety of models.
Create and Reuse Modeling Templates
Create modeling templates to reuse similar modeling test plans.
Edit Test Plan Definition
Edit test plan model inputs, response models types, and model designs.
Understanding Model Structure for Scripting
Learn how projects, test plans, and model objects fit together.