Table 6.
Results of the partial least squares model for the ML MoS in HCs.
| PRESS | # LF’s | X Variation explained | Y Variation explained | Q2 | R2Y | βO | βS | VIP | |
|---|---|---|---|---|---|---|---|---|---|
| Model | 0.644 | 1 | 100% | 65.34% | 0.59 | 0.65 | 46.706 | 0.000 | |
| Step width (m) | 8.296 | 0.808 | 1.000 |
ML MoS: Medio-lateral margin of stability; PRESS: Predictive Residual Sum of Squares; # LF’s: number of Latent Factors; Q2: goodness of prediction; R2Y: goodness of fit; βO: regression coefficient for original data; βS: regression coefficient for centred and scaled data; VIP: Variable Importance in Projection; m: meter.