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Table 3 Prediction statistics for the calibration models built with Savitzky–Golay transformed spectra of faeces with various haemoglobin concentrations using the wavelength region of 387–609 nm

From: Influence of environmental factors on the detection of blood in sheep faeces using visible–near-infrared spectroscopy as a measure of Haemonchus contortus infection

Calibration

Regression analysis

Latent variables (N)

Calibration

Cross-validation

Models

N

\({R^{2}}_{{{\text{cal}}}}\)

RMSEC

\({r^{2}}_{{{\text{cv}}}}\)

RMSECV

1

119

PLS

6

0.48

2.27

0.31

2.65

2

153

PLS

6

0.49

2.26

0.33

2.59

  1. PLS, Partial least squares; \({R^{2}}_{{{\text{cal}}}}\), coefficient of determination for correlation in calibration; RMSEC, root-mean-squared error of calibration (units in µg Hb/mg faeces); \({r^{2}}_{{{\text{cv}}}}\), coefficient of determination for correlation in cross-validation; RMSECV, root-mean-squared error of cross-validation (units in µg Hb/mg faeces)