A method is proposed to reconstruct dynamic attractors by embedding of mult
ivariate observations of dynamic nonlinear processes. The Takens embedding
theory is combined with independent component analysis to transform the emb
edding into a vector space of linearly independent vectors (phase variables
). The method is successfully tested against prediction of the unembedded s
tate vector in two case studies of simulated chaotic processes.