Multivariate calibration.

The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, and the significance of the parameters used to evaluate the performance ability of the regression model.