请问各位大神,用logit回归样本量变少很多怎么解决?万分感谢
note: _IAccper_2011 != 0 predicts failure perfectly
_IAccper_2011 dropped and 8 obs not used
Iteration 0: log pseudolikelihood = -42.411659
Iteration 1: log pseudolikelihood = -29.920149
Iteration 2: log pseudolikelihood = -28.862623
Iteration 3: log pseudolikelihood = -28.698263
Iteration 4: log pseudolikelihood = -28.658188
Iteration 5: log pseudolikelihood = -28.651049
Iteration 6: log pseudolikelihood = -28.650102
Iteration 7: log pseudolikelihood = -28.649894
Iteration 8: log pseudolikelihood = -28.649848
Iteration 9: log pseudolikelihood = -28.649836
Iteration 10: log pseudolikelihood = -28.649834
Logistic regression Number of obs = 67
Wald chi2(16) = 270.67
Prob > chi2 = 0.0000
Log pseudolikelihood = -28.649834 Pseudo R2 = 0.3245


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