Table 2 Comparison of accuracies (mean ± SD) achieved for full spectrum PLSR versus best model from variable selection using CARS-PLS resulting from 100 repetitions for the calibration and validation.

From: Fine root lignin content is well predictable with near-infrared spectroscopy

Models (S = 100)

WL-Selection

Full spectrum PLSR

CARS-PLSR

Calibration

Variables

662

16

nLV

7.37 ± 1.28

6.99 ± 0.58

RMSE [%]

3.58 ± 0.54

2.75 ± 0.30

Validation

RPD

1.96 ± 0.35

2.67 ± 0.46

RP2

0.74 ± 0.08

0.86 ± 0.05

RMSEP [%]

3.83 ± 0.57

2.82 ± 0.40

SEP [%]

3.79 ± 0.56

2.78 ± 0.40

BIAS

−0.22 ± 0.86

−0.19 ± 0.65

  1. Abbreviations are as given in Table 1. In addition we use root mean square error of calibration (RMSE).
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