Linear |
The LinearRegressionAnova type exposes the following members.
Name | Description | |
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LinearRegressionAnova(LinearRegression) | Constructs a LinearRegressionAnova instance for the given linear regression. | |
LinearRegressionAnova(DoubleMatrix, DoubleVector, DoubleVector, DoubleVector) | Construct a linear model ANOVA from the data, calculated parameters and optional weights. |
Name | Description | |
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AdjustedRsquared | Gets the adjusted coefficient of determination. | |
ErrorDegreesOfFreedom | Gets the number of degrees of freedom for the model error. | |
FStatistic | Gets the overall F statistic for the model. | |
FStatisticPValue | Gets the p-value for the F statistic. | |
MeanSquaredRegression | Gets the mean squared for the regression. | |
MeanSquaredResidual | Gets the mean squared residual. | |
ModelDegreesOfFreedom | Gets the number of degrees of freedom for the model. | |
RegressionSumOfSquares | Gets the regression sum of squares. | |
ResidualSumOfSquares | Gets the residual sum of squares. | |
RSquared | Gets the coefficient of determination. |
Name | Description | |
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Clone | Creates a deep copy of this LinearRegressionAnova. | |
FStatisticCriticalValue | Computes the critical value for the F statistic at the given signicance level. |