122     int cls, nsamples = 0, _var_count = 0, _var_all = 0, nclasses = 0;  in train()  local
129         &nsamples, &_var_count, &_var_all, &responses,  in train()
142         var_count = _var_count;  in train()
178         if( _var_count != var_count || _var_all != var_all || !(!_var_idx && !var_idx ||  in train()
193     CV_CALL( cov = cvCreateMat( _var_count, _var_count, CV_64FC1 ));  in train()
204         for( c1 = 0; c1 < _var_count; c1++, prod_data += _var_count )  in train()
209             for( c2 = c1; c2 < _var_count; c2++ )  in train()
226         for( j = 0; j < _var_count; j++ )  in train()
236         for( i = 0; i < _var_count; i++ )  in train()
240             double* prod_data = productsum[cls]->data.db + i*_var_count;  in train()
241             double* cov_data = cov->data.db + i*_var_count;  in train()
258         for( j = 0; j < _var_count; j++ )  in train()
291     int i, j, k, cls = -1, _var_count, nclasses;  in predict()  local
298     _var_count = avg[0]->cols;  in predict()
349             for( j = 0; j < _var_count; j++ )  in predict()
353             for( j = 0; j < _var_count; j++ )  in predict()