why OLS output does not provide r-squre?(eveiws 7.1)

[cklint]

I estimate following OLS.
1= a*MAI+b*FSI+c*KFI where a,b,c are coefficients and MAI, FSI and KFI are regressors. Theory tell MAI, KFI and FSI should have linear relationship as shown in the regression equation.
But regression output does not show R^2 and adjusted R^2. This is because regressand is constant?
How can I get adjusted R^2.
Thank you in advance.

-------E-views output ---------------------------------

Dependent Variable: 1
Method: Least Squares
Date: 07/08/11 Time: 18:48
Sample (adjusted): 1990M03 2010M12
Included observations: 250 after adjustments
HAC standard errors & covariance (Bartlett kernel, Newey-West fixed
bandwidth = 5.0000)

Variable Coefficient Std. Error t-Statistic Prob.

MAI_MV 0.024062 0.049487 0.486235 0.6272
FSI_MV 0.271207 0.034948 7.760289 0.0000
KFI_MV 0.740305 0.026009 28.46366 0.0000

Mean dependent var 1.000000 S.D. dependent var 0.000000
S.E. of regression 0.045350 Akaike info criterion -3.336869
Sum squared resid 0.507994 Schwarz criterion -3.294611
Log likelihood 420.1086 Hannan-Quinn criter. -3.319861
Durbin-Watson stat 0.025917

[startz]

Your left hand side variable has no variation, so Rsquare isn't really defined.