 Usage:  {kp, critvalue} = kpss(y {,t {,output}})  
 
 Input:

  y                      vector 
                         
  t                      scalar, truncation lag for the autocorrelation consistent variance estimator, 
                         if t is not specified, the kpss statistic is calculated for t=0, 7 and 21 
                         
  output                 0 or 1, a text output is shown in the XploRe output window if output = 1 
                         
 Output:

  kp                     vector, KPSS statistics KPSS_mu and KPSS_t 
                         
  critvalue              matrix, critic. values for 10% (1. row), 5% (2. rows) and 
                         1% (3. row) for the kpss test with a constant (1. col) 
                         and with a constant and linear trend (2. col) 
                         
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(C) MD*TECH Method and Data Technologies, 17.8.2000
