Table 2.
PLS models for predicting MetMb and MRA values on the surface layer of fresh beef with raw and pretreated spectral data.
| Pretreatment | Number of latant number | Calibration | Crossvalidation | Prediction | ||||
|---|---|---|---|---|---|---|---|---|
| R 2 c | RMSEc | R 2 cv | RMSEcv | R 2 p | RMSEp | |||
| MetMb | Raw | 6 | 0.827 | 1.169 | 0.804 | 0.985 | 0.885 | 1.387 |
| SGS | 5 | 0.856 | 0.815 | 0.832 | 0.693 | 0.916 | 0.983 | |
| MSC | 6 | 0.837 | 0.911 | 0.815 | 0.741 | 0.908 | 1.157 | |
| Nor | 5 | 0.846 | 0.894 | 0.797 | 0.733 | 0.911 | 0.9981 | |
| MAR | Raw | 4 | 0.762 | 1.416 | 0.801 | 0.857 | 0.806 | 1.514 |
| SGS | 5 | 0.801 | 1.325 | 0.853 | 1.215 | 0.845 | 1.502 | |
| MSC | 6 | 0.818 | 0.993 | 0.862 | 0.819 | 0.853 | 1.361 | |
| Nor | 6 | 0.836 | 0.869 | 0.887 | 0.786 | 0.871 | 0.908 | |