// Copyright (c) 2008, 2009, 2010 Regents of the University of California.
//
// ADModelbuilder and associated libraries and documentations are
// provided under the general terms of the "BSD" license.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2.  Redistributions in binary form must reproduce the above copyright
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// 3.  Neither the name of the  University of California, Otter Research,
// nor the ADMB Foundation nor the names of its contributors may be used
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DATA_SECTION
  init_int nobs
  init_vector Y(1,nobs)
  init_vector x(1,nobs)
PARAMETER_SECTION
  init_bounded_number a(-10,8);
  init_bounded_number b(-19,15);
  vector pred_Y(1,nobs)
  sdreport_number aa
  objective_function_value f
PROCEDURE_SECTION
 aa=a;
  pred_Y=a*x+b;
  f=(norm2(pred_Y-Y));
  f=nobs/2.*log(f);    // make it a likelihood function so that
                       // covariance matrix is correct

