Table 2.
Summary of the parameters for assessing the quality of the PLS-DA model
| Model | No | R2X | R2Y | Q2 |
|---|---|---|---|---|
| MH and MQ | 100 | 0.029 | 0.624 | 0.338 |
| EH and EQ | 100 | 0.107 | 0.920 | 0.273 |
| EQ and MQ | 100 | 0.203 | 0.750 | 0.547 |
| EH and MH | 100 | 0.102 | 0.828 | 0.0743 |
Notes: No represents the number of principal component obtained by cross-validation; R2X, variation explanation in X; R2Y, variation explanation in the response to Y; Q2, predict variation capability of compound.
Abbreviations: EH, phenotype E posttreatment; EQ, phenotype E pretreatment; MH, phenotype M posttreatment; MQ, phenotype M pretreatment; PLS-DA, partial least squares discriminant analysis.