 Usage:  sel = glmforward(code,x,y,opt)  
 
 Input:

  code                   text string, the short code for the model (e.g. 
                         "bilo" for logit or "noid" for ordinary PLM). 
                         
  x                      n x p matrix, the predictor variables. 
                         
  y                      n x 1 vector, the response variables. 
                         
  opt                    optional, a list with optional input. 'glmforward' 
                         allows the same optional parameters as 'glmest'. 
                         Additionally, the following are supported. 
                         
  opt.fix                r x 1, r < p, numbers of columns which should be 
                         always included in the model. 
                         
  opt.shm                integer, if exists and =1, some output is produced 
                         which indicates how the selection is going on. 
                         
  opt.crit               string, either "aic" or "bic", the selection criterion 
                         to use. If not given "aic" is used. 
                         
 Output:

  best                   p x 5, five best models. 
                         
  bestcrit               list, containing criteria for five best models: 
                         
  bestcrit.aic           1 x 5, AIC's for five best models. 
                         
  bestcrit.bic           1 x 5, BIC's for five best models. 
                         
  bestord                p x p or p x (p-r) best models for every order. 
                         
  bestordcrit            list, containing criteria for five best models: 
                         
  bestordcrit.aic        1 x p or 1 x (p-r), AIC's for five best models 
                         for every order. 
                         
  bestordcrit.bic        1 x p or 1 x (p-r), BIC's for five best models 
                         for every order. 
                         
  bestfit                GLM fit for best model, contains b, bv and stat 
                         as computed by "glmest". 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
