We apply a recently proposed method for the reconstruction of equations of
motion from a time series to experimental chaotic optical data and find the
theoretically expected Ikeda model. In contrast to phase space reconstruct
ion methods, it is based on nonlinear regression and maximal correlation, a
nd the resulting model can be investigated further. We demonstrate the retr
ieval of physical parameters by calculating the experimentally not accessib
le phase evolution of a non-stationary data set. (C) 1999 Elsevier Science
B.V. All rights reserved.