#
#  RECIPE Example #3: Regression model with data from a single batch
#
#  -- This dataset has 11 observations at two fixed levels. The
#     data come from 1 batch, there are two fixed parameters to
#     estimate (the slope and intercept of a straight line), and
#     a B-basis value is to be calculated at 7 points on this line.
#
#   --  ntot, nlvl, nbch, npar, npts, prob, conf
   11 2 1 2 7 .9d0 .95d0
#
#  -- We are fitting a model y=a+bT at two levels: T=75 degrees and
#     T=-67 degrees.  The first column corresponds to `a' in this
#     linear equation; the second column corresponds to `b'. Note
#     that these values need not be given in any special order,
#     for example (1, -67) need not come before (1, 75).  The
#     important thing is that the order of the rows given here
#     must correspond to the level indicator, p(s), given with each
#     response value.
   1 75
   1 -67
#
#  -- Now we have the 11 observations.  The first column is the
#     level (=1 for 75 degrees, =2 for -67 degrees), the second
#     column is the batch (always 1), and in the third column are
#     the strength observations.
#
   1    1   328.1174
   1    1   334.7674
   1    1   347.7833
   1    1   346.2661
   1    1   338.7314
   1    1   340.8146
   2    1   343.5855
   2    1   334.1746
   2    1   348.6610
   2    1   356.3232
   2    1   344.1524
#
#  -- Finally, we give the seven points at which basis
#     values are to be determined.  These correspond
#     to seven different temperatures -67,...,50. Note
#     that the first column of ones is required because 
#     of the intercept in the regression model
  1 -67
  1 -50
  1 -25
  1  0
  1 25
  1 50
  1 75