Research Article
Outlier-Resistant Orthogonal Regression via the Reformulation-Linearization Technique
Table 3
Summary of regression models for alkalinity on pH using OR, OR, ppOR-mad, ppOR-qn, -OGK, and PCA-.
| Method | Estimate | Standard error | value | value |
| OR | −0.87760 | 0.05993 | −14.64350 | .00000 | OR | −0.97168 | 0.42857 | −2.26728 | .02555 | ppOR-mad | −1.28919 | 0.74707 | −1.72567 | .08753 | ppOR-qn | −0.93906 | 0.20355 | −4.61344 | .00001 | -OGK | −0.83845 | 0.10632 | −7.88578 | .00000 | PCA- | −0.74421 | 0.11951 | −6.22713 | .00000 |
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