Where r is the Pearson correlation coefficient, σ is the standard deviation of model (m) and validation (v) which is the observational data, μ = arithmetic mean of model (m) and validation (v).
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if s and m and (1000*s + 100*e + 10*n + d) + (1000*m + 100*o + 10*r + e) == (10000*m + 1000*o + 100*n + 10*e + y): ...