  It is shown that the Principal Component Analysis applied to azimuthal
single-particle distributions allows to perform flow analysis in ways that are
analogous to the traditional approaches based on multi-particle correlations.
In particular, symmetric cumulants are considered. It is demonstrated also that
statistical fluctuations due to a finite number of particles per event
practically do not play a role for higher order PCA-based cumulants.
