比如如下回归信息，迹检验表明有两个协整方程，可以这两个方程具体的形式和系数是什么呢？

望李老师，告知识别方法。比如Y=25x+5什么的？？

谢谢！


Date: 09/07/09   Time: 20:39   
Sample (adjusted): 1997 2007   
Included observations: 11 after adjustments   
Trend assumption: Quadratic deterministic trend   
Series: LNDSCY LNWANGANG     
Lags interval (in first differences): 1 to 1   
   
Unrestricted Cointegration Rank Test (Trace)   
   
Hypothesized  Trace 0.05
No. of CE(s) Eigenvalue Statistic Critical Value Prob.**
   
None *  0.948592  37.66920  18.39771  0.0000
At most 1 *  0.366505  5.021532  3.841466  0.0250
   
Trace test indicates 2 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 *  0.948592  32.64767  17.14769  0.0001
At most 1 *  0.366505  5.021532  3.841466  0.0250
   
Max-eigenvalue test indicates 2 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):     
   
LNDSCY LNWANGANG   
-45.50409  2.370690   
-18.80036 -2.542209   
   
   
Unrestricted Adjustment Coefficients (alpha):     
   
D(LNDSCY)  0.019733 -0.001018  
D(LNWANGANG) -0.108340  0.247102  
   
   
1 Cointegrating Equation(s):   Log likelihood  38.10538
   
Normalized cointegrating coefficients (standard error in parentheses)   
LNDSCY LNWANGANG   
1.000000 -0.052098   
  (0.00680)   
   
Adjustment coefficients (standard error in parentheses)   
D(LNDSCY) -0.897954   
  (0.09088)   
D(LNWANGANG)  4.929894   
  (7.59695)