 Usage:  {wg,b,sk,sdv,skl,slv,lk,iter} = dpls(w,d,dy,dl,y,lag,genau)  

 

 Input:



  w                      a matrix with start weights same dimensions as dy 

                         

  d                      a kxk matrix with inner unlagged designs (0 or 1) 

                         no diagonal values allowed 

                         

  dy                     a lxk matrix with outer designs (0 or 1) 

                         rows are counting manifest variables 

                         

  dl                     a kxk matrix with inner lagged designs (0 or 1) 

                         diagonal elements are showing autoregression 

                         

  y                      a nxl matrix with manifest variables (indicators) 

                         

  lag                    a scalar of lag order 

                         

  genau                  a scalar with canceling criterion 

                         

 Output:



  wg                     a matrix with weights 

                         

  b                      a matrix with loadings 

                         

  sk                     a matrix with path coefficients with dimensions 

                         like d (kxk) 

                         

  sdv                    a matrix with standarddeviations of path 

                         coefficients with dimensions like d (kxk) 

                         

  skl                    a matrix with lagged path coefficients with 

                         dimensions like d (kxk) and ordered like designed 

                         

  slv                    a matrix with standarddeviations of path 

                         coefficients with dimensions like d (kxk) 

                         

  lk                     a matrix with latent variables 

                         

  iter                   a scalar shows how many iterations used 

                         

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

