High-dimensional chaos displayed by multi-component systems with a single t
ime-delayed feedback is shown to be accessible to time series analysis of a
scalar variable only. The mapping of the original dynamics onto scalar tim
e-delay systems defined on sufficiently high dimensional spaces is thorough
ly discussed. The dimension of the "embedding" space turns out to be indepe
ndent of the delay time and thus of the dimensionality of the attractor dyn
amics. As a consequence, the procedure described in the present paper turns
out to be definitely advantageous with respect to the standard embedding t
echnique in the case of high-dimensional chaos, when the latter is practica
lly unapplicable. The mapping is not exact when delayed maps are used to re
produce the dynamics of time-continuous systems, but the errors can be kept
under control. In this context, the approximation of delay-differential eq
uations is discussed with reference to different classes of maps. Appropria
te tools to estimate the a priori unknown delay time and the number of hidd
en components are introduced. The generalized Mackey-Glass system is invest
igated in detail as a testing ground for the theoretical considerations.