Two principal-component methods are used in color science. For a given data set of spectra, one method finds the best-fitting subspace about the mean spectrum, and the other finds the best-fitting subspace about the zero spectrum. The first of these was originally developed for illuminants and the second for reflectance analysis. Yet there seems to be no strong argument for choosing one method over the other, in either case. Hence it is urged that each of us declares which one we are using, even if making that discrimination is considered "non-PC" (i.e., not "politically correct").