Consider a ``master'' signal , where
represents the coordinates of a multidimensional space, and a
collection of ``slave'' signals
,
.
The goal of stationary regression is to estimate coefficients ,
such that the prediction error

(1)

is minimized in the least-squares sense. Particular examples include: