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We show that under a linearity condition on the distribution of thepredictors, the coefficient in single-index regression can be estimated withthe same efficiency as in the case when the link function is known. Thus, thelinearity condition seems to substitute for knowing the exact conditionaldistribution of the response given the linear combinations of the predictors.

The linearity condition and adaptive estimation in single-index regressions