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Table 6 Statistics of regression models (EWM)

From: High-resolution spectral information enables phenotyping of leaf epicuticular wax in wheat

   Spectral band in nanometers RMSE R2
EWM-1 Intercept 424         0.49 0.33
  0.46 52          
EWM-2 Intercept 658 721        0.50 0.45
  0.31 90.3 − 3.88         
EWM-3 Intercept 712 721 775 817      0.51 0.58
  0.71 160.7 − 183.1 − 33.7 80.2       
EWM-4 Intercept 658 712 721 775 817     0.51 0.60
  0.19 40.8 109.6 − 128.4 − 65.8 99.1      
EWM-5 Intercept 574 658 712 721 775 817    0.51 0.61
  -0.22 17.3 16.9 82.9 − 109.1 − 122.2 153.4     
EWM-6 Intercept 424 574 658 712 721 775 817   0.52 0.66
  1.13 − 76.4 1.9 134.7 76.4 − 109.9 − 45.1 78.1    
EWM-7 Intercept 424 547 574 658 712 721 775 817 0.52 0.71
  − 3.1 − 73.5 58.9 − 82.7 146.9 89.6 − 188.8 − 91.6 134.3   
  1. The coefficient of determination (R2) and the C(p) were calculated in the training set, while the root mean square error (RMSE) was estimated in the validation set. The multivariate models were significant at 5% of probability or less
  2. Bold values indicate the parameters of the statistical model: intercept and wavelength range in nanometers (nm)