Principal component analysis (PCA) and kernel PCA allow the decorrelation of data with respect to a basis that is found via variance maximization. However, these techniques are based on pointwise correlations. Especially in context time series this not optimal. We present novel generalization allows imprint any desired correlation pattern. Thus proposed method can be used incorporate previously...