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In this paper, we consider a single-index mixed effects model with longitudinal data.The introduction of the random effects raises interesting inferential challenge.Instead of treating the variance components as nuisance parameters, we propose root-n consistent estimators for them.A new set of estimating equations is proposed to estimate the single-index coefficients.