  The paper is briefly dealing with greater or lesser misused normalization in
self-modeling/multivariate curve resolution (S/MCR) practice. The importance of
the correct use of the ode solvers and apt kinetic illustrations are
elucidated. The new terms, external and internal normalizations are defined and
interpreted. The problem of reducibility of a matrix is touched. Improper
generalization/development of normalization-based methods are cited as
examples. The position of the extreme values of the signal contribution
function is clarified. An Executable Notebook with Matlab Live Editor was
created for algorithmic explanations and depictions.
