Examples of org.apache.commons.math.linear.RealVector.dotProduct()

Class org.apache.commons.math.linear.RealVector

Examples of org.apache.commons.math.linear.RealVector.dotProduct()

org.apache.commons.math.linear.RealVector.dotProduct()
Compute the dot product. @param v vector with which dot product should be computed @return the scalar dot product between instance and v @throws org.apache.commons.math.exception.DimensionMismatchException if {@code v} is not the same size as this vector.

     * @return error variance estimate
     * @since 2.2
     */
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (X.getRowDimension() - X.getColumnDimension());
    }


    /**
     * Calculates the residuals of multiple linear regression in matrix

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     * @return residual sum of squares
     * @since 2.2
     */
    public double calculateResidualSumOfSquares() {
        final RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals);
    }


    /**
     * Returns the R-Squared statistic, defined by the formula <pre>
     * R<sup>2</sup> = 1 - SSR / SSTO

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     * @since 2.2
     */
    @Override
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        double t = residuals.dotProduct(getOmegaInverse().operate(residuals));
        return t / (X.getRowDimension() - X.getColumnDimension());


    }


}

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     * @return The Y variance
     */
    @Override
    protected double calculateYVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (X.getRowDimension() - X.getColumnDimension());
    }
    
    /** TODO:  Find a home for the following methods in the linear package */

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     * @return The Y variance
     */
    @Override
    protected double calculateYVariance() {
        RealVector residuals = calculateResiduals();
        double t = residuals.dotProduct(getOmegaInverse().operate(residuals));
        return t / (X.getRowDimension() - X.getColumnDimension());
    }
    
}

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     * @return The Y variance
     */
    @Override
    protected double calculateYVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (X.getRowDimension() - X.getColumnDimension());
    }


}

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     * @return The Y variance
     */
    @Override
    protected double calculateYVariance() {
        RealVector residuals = calculateResiduals();
        double t = residuals.dotProduct(getOmegaInverse().operate(residuals));
        return t / (X.getRowDimension() - X.getColumnDimension());
    }


}

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