 Usage:  mh = regxestp(x {,h {,K} {,v} })  
 
 Input:

  x                      n x (p+1), the data. In the first p columns 
                         the independent variables, in the last column 
                         the dependent variable. 
                         
  h                      scalar, p x 1 or 1 x p, bandwidth. If not 
                         given, 20% of the range of x[,1:p] is used. 
                         
  K                      string, kernel function on [-1,1] or Gaussian 
                         kernel "gau". If not given, the 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:

  mh                     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 regression estimate 
                         on the values of the first p columns. 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
