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This program queries grid-sampling fields, which have at least samples for the season, and
have had analysis run between and .
Each parameter for these fields is ordered low to high, and the lowest and highest values are removed.
A linear regression is then determined, using the parameter's value as the y-axis, and its position in the sort as the x-axis.
If the r2 of this regression is greater than , the lowest and highest values are predicted from the regression's slope and intercept.
If a predicted value falls outside RPD of the actual low or high value, the parameter is flagged. (low : high)
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