A PLS model, using orthogonal signal cor-rection and mean centering data pretreatments, and VIP
scores variable preselection, was able to predict the con-centration of sunflower and soybean oil adulterants in the
1–24 % weight ratio range with relative prediction errors
lower than 3 % (w/w), for external validation samples