fgleric 发表于 2012-12-10 02:33 
额，自我批评一下，刚看到你用的是logit。
cmp只能回归probit以及ordered probit等相关的回归，无法使 ...
出问题了，不知道怎么回事…… 不懂原理，照葫芦画瓢的下场啊！
麻烦帮忙看看，这是什么情况？谢谢
“Warning: _Im25_3 _Imarital_1 _Im28_1 _Im3a_0_1 perfectly predict success or failure in _mp_cmp_y6.
Such regressors will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.
Warning: _Im25_3 _Imarital_1 _Im28_1 _Im3a_0_1 perfectly predict success or failure in _mp_cmp_y6.
Such regressors will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.
Warning: _Im25_3 _Imarital_1 _Im28_1 _Im3a_0_1 perfectly predict success or failure in _mp_cmp_y6.
Such regressors will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.
Warning: _Im25_3 _Imarital_1 _Im28_1 _Im3a_0_1 perfectly predict success or failure in _mp_cmp_y6.
Such regressors will be dropped from the full model.
Perfectly predicted observations will be dropped from the estimation sample for this equation.
Warning: Covariance matrix for single-equation estimate of _mp_cmp_y6 equation is not of full rank.
Parameters with singular variance will be excluded from full model.
Re-running single-equation estimate without them.
Warning: regressor matrix for _mp_cmp_y6 equation appears ill-conditioned. (Condition number = 445.30452.)
This might prevent convergence. If it does, and if you have not done so already, you may need to remove nearly
collinear regressors to achieve convergence. Or you may need to add a nrtolerance(#) or nonrtolerance option to the command line.
See cmp tips for more information.
Fitting full model.
initial vector: matrix must be dimension 105
r(503);”
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