Calibration and validation statistics of partial least-squares regression models.
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Calibrations were evaluated as follows (Saeys et al (2005): excellent (R2/r2 ≥ 0.9, RPD ≥ 3.0), reliable quantitative predictions (R2/r2 ≥ 0.75 and 2/r2 ≥ 0.65 and 2/r2 Transf: transformations for regression analyses.Abs: Log1/R (R = reflectance).1D: first derivative.R2: coefficient of multiple determination (calibration).SEC: standard error of calibration.SECV: standard error of cross validation.r2: regression coefficient NIRS predicted vs. observed values.SEP: standard error of prediction (validation).RPD: ratio of SD of reference values (validation) to SEP.RPIQ: ratio of the interquartile distance IQ ( = Q3–Q1) of reference values (validation) to SEP.Corr. OM: Pearson correlation with organic matter content.
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2015-12-02
