Uses of Class
org.apache.commons.math3.stat.regression.ModelSpecificationException

Packages that use ModelSpecificationException
Package
Description
org.apache.commons.math3.stat.regression
Statistical routines involving multivariate data.

  • Uses of ModelSpecificationException in org.apache.commons.math3.stat.regression

    Methods in org.apache.commons.math3.stat.regression that throw ModelSpecificationException
    Modifier and Type
    Method
    Description
    void
    SimpleRegression.addData(double[][] data)
    Adds the observations represented by the elements in data.
    void
    MillerUpdatingRegression.addObservation(double[] x, double y)
    Adds an observation to the regression model.
    void
    SimpleRegression.addObservation(double[] x, double y)
    Adds one observation to the regression model.
    void
    UpdatingMultipleLinearRegression.addObservation(double[] x, double y)
    Adds one observation to the regression model.
    void
    MillerUpdatingRegression.addObservations(double[][] x, double[] y)
    Adds multiple observations to the model.
    void
    SimpleRegression.addObservations(double[][] x, double[] y)
    Adds a series of observations to the regression model.
    void
    UpdatingMultipleLinearRegression.addObservations(double[][] x, double[] y)
    Adds a series of observations to the regression model.
    RegressionResults
    MillerUpdatingRegression.regress()
    Conducts a regression on the data in the model, using all regressors.
    RegressionResults
    MillerUpdatingRegression.regress(int numberOfRegressors)
    Conducts a regression on the data in the model, using a subset of regressors.
    RegressionResults
    MillerUpdatingRegression.regress(int[] variablesToInclude)
    Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
    RegressionResults
    SimpleRegression.regress()
    Performs a regression on data present in buffers and outputs a RegressionResults object.
    RegressionResults
    UpdatingMultipleLinearRegression.regress()
    Performs a regression on data present in buffers and outputs a RegressionResults object
    RegressionResults
    UpdatingMultipleLinearRegression.regress(int[] variablesToInclude)
    Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
    Constructors in org.apache.commons.math3.stat.regression that throw ModelSpecificationException
    Modifier
    Constructor
    Description
     
    MillerUpdatingRegression(int numberOfVariables, boolean includeConstant)
    Primary constructor for the MillerUpdatingRegression.
     
    MillerUpdatingRegression(int numberOfVariables, boolean includeConstant, double errorTolerance)
    This is the augmented constructor for the MillerUpdatingRegression class.