| validateCovarianceData(double[][], double[][]) |   | 47% | | 50% | 3 | 4 | 2 | 5 | 0 | 1 |
| newXSampleData(double[][]) | | 84% | | 80% | 2 | 6 | 2 | 15 | 0 | 1 |
| newYSampleData(double[]) | | 80% | | 75% | 1 | 3 | 1 | 6 | 0 | 1 |
| estimateRegressandVariance() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| newSampleData(double[], int, int) | | 100% | | 100% | 0 | 9 | 0 | 19 | 0 | 1 |
| validateSampleData(double[][], double[]) | | 100% | | 100% | 0 | 6 | 0 | 9 | 0 | 1 |
| estimateRegressionParametersStandardErrors() | | 100% | | 100% | 0 | 2 | 0 | 7 | 0 | 1 |
| calculateErrorVariance() | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| estimateResiduals() | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| calculateResiduals() | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| calculateYVariance() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| AbstractMultipleLinearRegression() | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| estimateRegressionParameters() | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setNoIntercept(boolean) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| estimateRegressionParametersVariance() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| estimateRegressionStandardError() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getX() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getY() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| isNoIntercept() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| estimateErrorVariance() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |