Isotonic regression is a non-parametric regression technique used to find a best-fit line or curve that preserves the order of the data points. The objective of isotonic regression is to find a piecewise constant function that minimizes the sum of squared deviations from the observed values while ensuring that the fitted values are non-decreasing (i.e., they maintain the order of the independent variable).
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