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A numerical method is proposed to remove the quenched randomness from a datasequence of numbers. A polymer chain of beads is introduced with both a hardcore interaction and an appropriate energy associated with the data sequence.The quenched randomness is hypothesized to collapse the chain to a sphericalglobule. Long-range informational correlations then show up in deviations fromthe spherical shape. The resulting coefficients within an expansion in terms ofspherical harmonics go beyond the usual concept of algorithmic information orKolmogorov complexity.

Long-range Correlations in a Data Sequence Extracted Via Polymeric Compaction