Monday  4/27/1998  10:41:30
          Linear model with normal disturbances

 <<< Model specification read from file prioruvr1                               

 <<< Data read from file datauvr1                                

 Number of variables read from file:     6
     Number of observations in file:    39
       Observations used for sample:     1 -    39

 Col     Minimum     Maximum        Mean  Stan. dev.       First        Last
   1  1.0000E+00  1.0000E+00  1.0000E+00  0.0000E+00  1.0000E+00  1.0000E+00
   2  0.0000E+00  1.7500E+02  6.2154E+01  3.4773E+01  3.6000E+01  6.5000E+01
   3  0.0000E+00  1.0000E+00  6.9231E-01  4.6154E-01  0.0000E+00  1.0000E+00
   4  1.0000E+00  3.0000E+00  2.4615E+00  6.3432E-01  3.0000E+00  3.0000E+00
   5  1.0000E+00  5.0000E+00  3.3590E+00  9.9967E-01  4.0000E+00  3.0000E+00
   6  2.0000E+00  1.0000E+01  6.7436E+00  1.8358E+00  1.0000E+01  8.0000E+00

       First observation (t1):    1
        Last observation (t2):   39
     Number of regressors (k):    5
    Dependent variable column:    6
 Explanatory variable columns:    1    2    3    4    5

 Gaussian prior for coefficients
 Parameter      Prior mean      Prior s.d.     Prior prec.   Initial value
         1    0.000000E+00    5.000000E+00    4.000000E-02    4.481761E+00
         2    0.000000E+00    8.000000E-02    1.562500E+02   -7.909202E-02
         3    0.000000E+00    8.000000E+00    1.562500E-02    1.229287E+01
         4    0.000000E+00    4.000000E+00    6.250000E-02    2.061876E+00
         5    0.000000E+00    2.000000E+00    2.500000E-01    4.304239E-01

  Prior correlation matrix

         1      2      3      4      5
    1  1.000
    2  0.000  1.000
    3  0.000  0.000  1.000
    4  0.000  0.000  0.000  1.000
    5  0.000  0.000  0.000  0.000  1.000

  Normalized prior precision matrix

         1      2      3      4      5
    1  1.000
    2  0.000  1.000
    3  0.000  0.000  1.000
    4  0.000  0.000  0.000  1.000
    5  0.000  0.000  0.000  0.000  1.000

 Chi-square prior for precision
 Degrees of freedom     Scale parameter     Initial draw
      1.0000000E+00       6.2500000E+00    3.7662816E-03

 Organiation of simulation vector
 Covariate coefficient vector (Beta):    1
    Antithetic of coefficient vector:    6
           Disturbance precision (h):   11

  Markov chain Monte Carlo posterior simulation
    Parameters written in each record:        11
                           Iterations:      1000
             Skips between iterations:         0

 >>> Posterior simulation matrix written to file simuvr1                                 

   Iterations completed:        1000
               CPU time:      1.2742
  CPU time per iteraton:      0.0013
    Monday  4/27/1998  10:41:32