 Usage:  {edr, eigen} = sir1 (matYX, nbslices)  

 

 Input:



  matYX                  n x (p+1) matrix containing the value of the dependent 

                         variable in its first column, the values of the p 

                         explanatory variables in the last p columns, 

                         for a sample of size n. 

                         

  nbslices               optional scalar parameter, 

                         number of slices for the non missing y's cases. 

                         (By default, it is equal to 5) 

                         

 Output:



  edr                    p x p matrix which contains the estimated EDR directions 

                         (in columns), sorted according to the increasing values 

                         of their corresponding eigenvalues. 

                         

                         

  eigen                  p x 1 matrix which contains the corresponding eigenvalues 

                         sorted according to the increasing values. 

                         

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(C) MD*TECH Method and Data Technologies, 21.9.2000

