Thursday  8/14/1997  12:57: 9
          Multivariate linear model with normal disturbances

 <<< Model specification read from file priormvr1                                   

 <<< Data read from file datamvr1                

 Number of variables read from file:     5
     Number of observations in file:   200
       Observations used for sample:     1 -   200

 Col     Minimum     Maximum        Mean  Stan. dev.       First        Last
   1 -2.4856E+00  2.7962E+00  1.4391E-01  9.4982E-01 -1.2569E-01 -9.3567E-01
   2 -2.1539E+00  2.6108E+00  5.5842E-02  9.6550E-01 -4.9249E-01 -3.2180E-01
   3 -2.0934E+00  3.0342E+00 -3.0754E-02  9.2517E-01 -5.8469E-01 -1.1301E+00
   4 -6.5041E+00  5.7020E+00  2.9202E-02  2.3412E+00 -2.1061E+00 -2.0461E+00
   5 -7.9876E+00  8.6969E+00  4.7811E-02  3.1016E+00 -1.0617E+00  1.1187E+00

       First observation (t1):    1
        Last observation (t2):  200
 Number of dep. variables (m):    3
     Number of regressors (k):    4
   Dependent variable columns:    5
 Explanatory variable columns:    1    2    3

 Gaussian prior for coefficients
 Parameter      Prior mean      Prior s.d.     Prior prec.   Initial value
         1    0.000000E+00    3.162278E+00    1.000000E-01    6.770258E+00
         2    0.000000E+00    3.162278E+00    1.000000E-01    2.102030E+00
         3    0.000000E+00    3.162278E+00    1.000000E-01    4.064515E+00
         4    0.000000E+00    3.162278E+00    1.000000E-01   -1.076804E+00
         5    0.000000E+00    3.162278E+00    1.000000E-01    1.678181E+00
         6    0.000000E+00    3.162278E+00    1.000000E-01    6.244741E-01

  Prior correlation matrix

         1      2      3      4      5      6
    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
    6  0.000  0.000  0.000  0.000  0.000  1.000

  Normalized prior precision matrix

         1      2      3      4      5      6
    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
    6  0.000  0.000  0.000  0.000  0.000  1.000

 Wishart prior distribution for precision matrix
 with   5.0000000E+00 degrees of freedom

 Matrix parameter

              1              2
   1   2.000000E-01
   2   0.000000E+00   2.000000E-01

 Inverse of matrix parameter

              1              2
   1   5.000000E+00
   2   0.000000E+00   5.000000E+00

 Initial draw

              1              2
   1   6.149292E-01
   2  -3.228322E-01   8.773983E-01

 Inverse of initial draw

              1              2
   1   2.015538E+00
   2   7.416024E-01   1.412600E+00

 Organization of simulation vector
   Coefficient vector Beta (B matrix by columns):    1
                Antithetic of coefficient vector:    7
 Disturbance precision matrix H (lower triangle):   13

  Markov chain Monte Carlo posterior simulation
    Parameters written in each record:        15
                           Iterations:      1000
             Skips between iterations:         0

 >>> Posterior simulation matrix written to file simmvr1                                  

  Description:
  This is a shakedown run for mvr1.                                         

   Iterations completed:        1000
               CPU time:      1.9507
  CPU time per iteraton:      0.0020
  Thursday  8/14/1997  12:57:15