15. Determine calibration model by methods including principal component regression,
partial least squares, multiple linear regression and artificial neural networks.
16. Reduce data set down to significant factors by computing principal component analysis scores
or partial least squares scores.
17. Use significant factors and reference data
to calculate regression coefficients and artificial neural networks weights.