急！！！问下各位在Stata中使用ologit或者oprobit命令进行分位回归的命令是怎样的，以下结果是什么意思
. ologit m26b m39 m52 m1 a12 gender age m23 m1 m25 u48a
note: m1 omitted because of collinearity
Iteration 0:   log likelihood = -10.050677  
Iteration 1:   log likelihood = -7.0168028  
Iteration 2:   log likelihood = -4.9737289  
Iteration 3:   log likelihood = -3.8226942  
Iteration 4:   log likelihood = -1.8149996  
Iteration 5:   log likelihood =          0 (not concave)
Iteration 6:   log likelihood =          0 (not concave)
Iteration 7:   log likelihood =          0 (not concave)
Iteration 8:   log likelihood =          0 (not concave)
Iteration 9:   log likelihood =          0 (not concave)
Iteration 10:  log likelihood =          0 (not concave)
Iteration 11:  log likelihood =          0 (not concave)
Iteration 12:  log likelihood =          0 (not concave)
Iteration 13:  log likelihood =          0 (not concave)
Iteration 14:  log likelihood =          0 (not concave)
Iteration 15:  log likelihood =          0 (not concave)
Iteration 16:  log likelihood =          0 (not concave)
Iteration 17:  log likelihood =          0 (not concave)
Iteration 18:  log likelihood =          0 (not concave)
Iteration 19:  log likelihood =          0 (not concave)
Iteration 20:  log likelihood =          0 (not concave)
Iteration 21:  log likelihood =          0 (not concave)
Iteration 22:  log likelihood =          0 (not concave)
Iteration 23:  log likelihood =          0 (not concave)
Iteration 24:  log likelihood =          0 (not concave)
Iteration 25:  log likelihood =          0 (not concave)
Iteration 26:  log likelihood =          0 (not concave)
more--