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static void pcamat( const matrix<double> vectors, const int numOfIC, 
              int firstEig, int lastEig, matrix<double> &Es, vector<double> &Ds ) {
 
	  matrix<double> Et;
	  matrix<double> Dt;
	  double lowerLimitValue = 0.0;
	  double higherLimitValue = 0.0;
 
	  int oldDimension = vectors.size1();
 
	  matrix<double> covarianceMatrix = cov( trans(vectors), 0 );
 
	  performPCA( covarianceMatrix, Dt, Et );
	  std::cout << Dt << Et << std::endl;
	  int maxLastEig = 0;
 
	  // Compute rank
	  for ( unsigned i= 0; i< Dt.size1(); i++ ) if ( Dt(i,i) > FICA_TOL ) 
		  maxLastEig++;
 
	  // Force numOfIC components
	  if ( maxLastEig > numOfIC ) maxLastEig = numOfIC;
 
	  vector<double> eigenvalues = zero_vector<double>( Dt.size1() );
	  vector<double> eigenvalues2 = zero_vector<double>( Dt.size1() );
 
	  eigenvalues2 = diag(Dt);
 
	  std::cout << eigenvalues.size() << " " << Dt.size1() << " " << Dt.size2()<< std::endl;
 
	  sort( eigenvalues2 );
 
	  vector<double> lowerColumns = zero_vector<double>( Dt.size1() );
 
	  for ( unsigned i = 0; i < Dt.size1(); i++ ) 
		  eigenvalues(i)= eigenvalues2(Dt.size1()-i-1);
 
	  if ( lastEig > maxLastEig ) lastEig = maxLastEig;
 
	  if ( lastEig < oldDimension ) 
		  lowerLimitValue = ( eigenvalues(lastEig-1)+eigenvalues(lastEig) )/2;
	  else 
		  lowerLimitValue = eigenvalues( oldDimension-1 ) -1;
 
	  for ( unsigned i = 0; i< Dt.size1(); i++ ) 
		  if ( Dt(i,i) > lowerLimitValue ) 
			  lowerColumns(i)= 1;
 
	  if ( firstEig > 1 ) 
		  higherLimitValue = ( eigenvalues( firstEig-2 ) + eigenvalues( firstEig-1 ) )/2;
	  else 
		  higherLimitValue = eigenvalues(0)+1;
 
	  vector<double> higherColumns = zero_vector<double>( Dt.size1() );
	  for ( unsigned i= 0; i < Dt.size1(); i++ ) 
		  if ( Dt(i,i) < higherLimitValue ) 
			  higherColumns(i)= 1;
 
	  vector<double> selectedColumns = zero_vector<double>( Dt.size1() );
	  for ( unsigned i = 0; i < Dt.size1(); i++ ) 
		  selectedColumns(i) = (lowerColumns(i)==1 && higherColumns(i)==1) ? 1 : 0;
 
	  selcol( Et, selectedColumns, Es );
 
	  int numTaken= 0;
 
	  for ( unsigned i= 0; i< selectedColumns.size(); i++ ) 
		  if ( selectedColumns(i) == 1 ) 
			  numTaken++;
 
	  Ds = scalar_vector<double>( numTaken, 0 );
 
	  numTaken= 0;
 
	  for ( unsigned i = 0; i < Dt.size1(); i++ )
	    if ( selectedColumns(i) == 1) {
	      Ds( numTaken ) = Dt(i,i);
	      numTaken++;
	    }
 
	  std::cout << "pcamat fin" << std::endl;
 
	  return;
} | 
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