 Usage:  fh = denxestp(x {,h {,K} {,v} })  
 
 Input:

  x                      n x p matrix, the data. 
                         
  h                      scalar or p x 1 vector, bandwidth. If not given, 
                         the rule of thumb bandwidth computed by denrotp 
                         is used (Scott's rule of thumb). 
                         
  K                      string, kernel function on [-1,1]^p. If not given, 
                         the product Quartic kernel "qua" is used. 
                         
  v                      m x p, values of the independent variable on 
                         which to compute the regression. If not given, 
                         a grid of length 100 (p=1), length 30 (p=2) 
                         and length 8 (p=3) is used in case of p<4. When 
                         p>=4 then v is set to x. 
                         
 Output:

  fh                     n x (p+1) or m x (p+1) matrix, the first p columns 
                         contain the grid or the sorted x[,1:p], the 
                         second column contains the density estimate 
                         on the values of the first p columns. 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
