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No input is required for this function which is only applicable to dynamic series. The PCA performs a principal component analysis in the time domain. The generated series consists of the components sorted according to decreasing eigenvalues. The expectation is, that the PCA groups pixels with a similar uptake pattern over time in different components (representing "frames" in the generated series). The eigenvalues are written to the console.