  A consolidating method for analyzing series of observations based on a fitted
model of a mixture of catalysts of the main components is proposed, which makes
it possible to study any number of markers. Contrasting the longitudinal
approach, it eliminates the need to connect regression analysis methods with
their own uncertainties when choosing particular models. The consolidating
method allows obtaining an original result in the subject area of early
diagnosis of a disease: all options for using markers demonstrate an increase
in classification accuracy with an increase in the length of a series of
examinations.
