我用johansen协整检验 得到如下结果
Date: 07/09/10   Time: 16:11   
Sample (adjusted): 1997Q1 2009Q2   
Included observations: 50 after adjustments   
Trend assumption: Linear deterministic trend   
Series: LOGCPI LOGE LOGGDP_SA     
Lags interval (in first differences): 1 to 3   
   
Unrestricted Cointegration Rank Test (Trace)   
   
Hypothesized  Trace 0.05
No. of CE(s) Eigenvalue Statistic Critical Value Prob.**
   
None *  0.439023  39.74279  29.79707  0.0026
At most 1  0.194359  10.83904  15.49471  0.2216
At most 2  0.000663  0.033182  3.841466  0.8554
   
Trace test indicates 1 cointegrating eqn(s) at the 0.05 level   
* denotes rejection of the hypothesis at the 0.05 level   
**MacKinnon-Haug-Michelis (1999) p-values   
   
Unrestricted Cointegration Rank Test (Maximum Eigenvalue)   
   
Hypothesized  Max-Eigen 0.05
No. of CE(s) Eigenvalue Statistic Critical Value Prob.**
   
None *  0.439023  28.90375  21.13162  0.0033
At most 1  0.194359  10.80586  14.26460  0.1642
At most 2  0.000663  0.033182  3.841466  0.8554
   
Max-eigenvalue test indicates 1 cointegrating eqn(s) at the 0.05 level   
* denotes rejection of the hypothesis at the 0.05 level   
**MacKinnon-Haug-Michelis (1999) p-values   
   
Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):     
   
LOGCPI LOGE LOGGDP_SA  
-42.30947 -21.53148  6.356762  
58.59933 -18.75160 -5.731823  
4.849178  11.41469  1.969624  
   
   
Unrestricted Adjustment Coefficients (alpha):     
   
D(LOGCPI)  0.001036 -0.000163 -4.94E-05
D(LOGE) -0.000218  0.003033 -2.62E-05
D(LOGGDP_SA)  0.007981  0.000957  0.000134
   
   
1 Cointegrating Equation(s):   Log likelihood  567.2294
   
Normalized cointegrating coefficients (standard error in parentheses)   
LOGCPI LOGE LOGGDP_SA  
1.000000  0.508904 -0.150244  
  (0.13132)  (0.01326)  
   
Adjustment coefficients (standard error in parentheses)   
D(LOGCPI) -0.043830   
  (0.01544)   
D(LOGE)  0.009227   
  (0.04715)   
D(LOGGDP_SA) -0.337672   
  (0.07210)   
   
   
2 Cointegrating Equation(s):   Log likelihood  572.6323
   
Normalized cointegrating coefficients (standard error in parentheses)   
LOGCPI LOGE LOGGDP_SA  
1.000000  0.000000 -0.118055  
   (0.01145)  
0.000000  1.000000 -0.063253  
   (0.02554)  
   
Adjustment coefficients (standard error in parentheses)   
D(LOGCPI) -0.053357 -0.019257  
  (0.02630)  (0.01039)  
D(LOGE)  0.186966 -0.052180  
  (0.07249)  (0.02864)  
D(LOGGDP_SA) -0.281564 -0.189797  
  (0.12267)  (0.04846)  
   
我个人的理解是在5%的显著性水平下迹统计量和最大特征值都表示存在一个协整向量，可是下面却出现了两个协整方程，三个协整向量？不知道选择哪个？是不是看极大似然函数小的那个选择方程？协整向量如何判断呢？

问题2：协整向量个数和协整方程个数应该是相同的吗？

望高手指教