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We consider penalized likelihood regression with data from the negative bino-mial distribution with unknown shape parameter. Smoothing parameter selectionand asymptotically ecient low dimensional approximations are employed for nega-tive binomial data along with shape parameter estimation through several dierentalgorithms.