Uses of Class org.apache.commons.math3.stat.regression.ModelSpecificationException (Apache Commons Math 3.3 API)

## 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 and Description
    --- | ---
    `void` | SimpleRegression.`addData(double[][] data)` Adds the observations represented by the elements in `data`.
    `void` | UpdatingMultipleLinearRegression.`addObservation(double[] x, double y)` Adds one observation to the regression model.
    `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.`addObservations(double[][] x, double[] y)` Adds a series of observations 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.
    `RegressionResults` | UpdatingMultipleLinearRegression.`regress()` Performs a regression on data present in buffers and outputs a RegressionResults object
    `RegressionResults` | MillerUpdatingRegression.`regress()` Conducts a regression on the data in the model, using all regressors.
    `RegressionResults` | SimpleRegression.`regress()` Performs a regression on data present in buffers and outputs a RegressionResults object.
    `RegressionResults` | MillerUpdatingRegression.`regress(int numberOfRegressors)` Conducts a regression on the data in the model, using a subset of regressors.
    `RegressionResults` | UpdatingMultipleLinearRegression.`regress(int[] variablesToInclude)` Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
    `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.

    Constructors in org.apache.commons.math3.stat.regression that throw ModelSpecificationException
    Constructor and 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.

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