This work explores the influence of pH on the chromatic coordinates in the CIELab color space of four synthetic dyes widely used in the wool textile industry: Blue 2R, Yellow 4GN, Red 2B, and Bordeaux B (CAS no. 70209-96-0, 72479-28-8, 72017-66-4, and 52333-30-9, respectively). Due to the presence of at least one sulfonic group in the chemical structures, the chromatic coordinates change as the acidity of the aqueous medium increases in all cases. For Blue 2R and Bordeaux B in solution, chromatic coordinates in CIELab were predicted by Partial Least Squares Regression from absorption spectra and pH. Variations between Partial Least Squares Regression-estimated and CIELab color space coordinates have led to errors of less than 1 % in all cases. On the other hand, Soft Independent Modeling by Class Analogy was used to differentiate the dyes in aqueous media from absorption spectra regardless of pH. Thus, it is demonstrated the predictive capacity offered by multivariate mathematical tools such as Partial Least Squares Regression or Soft Independent Modeling by Class Analogy. However, there is still much to explore in the binomial chromatic coordinates-chemometrics.