 Usage:  {y,mu} = genglm(code, x, b {,opt})  
 
 Input:

  code                   text string, the short code for the model (e.g. 
                         "bilo" for logit or "noid" for ordinary PLM). 
                         
  x                      n x k matrix, design. 
                         
  b                      k x 1 vector, coefficients. 
                         
  opt                    optional, a list with optional input. The macro 
                         "glmopt" can be used to set up this parameter. 
                         The order of the list elements is not important. 
                         Parameters which are not given are replaced by 
                         defaults (see below). 
                         
  opt.phi                nuisance parameter, usually the dispersion 
                         parameter. 
                         
  opt.wx                 scalar or n x 1 vector, the binomial index 
                         vector, only considered for binomial models. 
                         If not given, set to 1. 
                         
  opt.off                scalar or n x 1 vector, offset. 
                         If not given, set to 0. 
                         
  opt.pow                optional, power for power link. 
                         
  opt.nbk                scalar, extra parameter k for negative 
                         binomial distribution. 1/k is supposed 
                         to be a positive integer. 
                         If not given, set to 1 (geometric distribution). 
                         
 Output:

  y                      n x 1 vector, response. 
                         
  mu                     n x 1 vector, regression. 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
