 Usage:  glmplot(x,y{,opt})  
 
 Input:

  x                      n x 1 matrix, explanatory variable. 
                         
  y                      n x 1 response. 
                         
  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.code               text string, the short code for the model (e.g. 
                         "bilo" for logit or "noid" for ordinary LS). 
                         
  opt.weights            string, type of weights. Can be "frequency" 
                         for replication counts, or "prior" (default) 
                         for prior weights in weighted regression. 
                         
  opt.wx                 scalar or n x 1 vector, frequency or prior 
                         weights. If not given, set to 1. 
                         
  opt.pow                optional, power for power link. 
                         
  opt.nbk                scalar, extra parameter k for negative binomial 
                         distribution. If not given, set to 1 (geometric 
                         distribution). 
                         
  opt.xvars              scalar string vector, variable name for the output. 
                         
  opt.name               string, prefix for the output. If not given, "glm" 
                         is used. 
                         
 Output:

  glmPlot or opt.name+"Plot"  display, containing the distribution of x in 
                         the first window (histogram/density), the 
                         marginal influence of x on y in the second 
                         and a scatterplot of x versus y in the third. 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
