Input
  Testing data   File should contain table data: lines for observations (samples) and columns for variables; columns should be separated by tabulation or user-defined symbol (;, etc); no missed data allowed. The testing data is mandatory parameter, it should contain predicting (inputs), but may not contain output variables.
  Structure   This is the name of previously obtained network parameter file in MLP format
  List of input variables   List of variables which serve as predictors for NN, the input of the neural network. Format of input : 1;2;3-7;12;
Output
  Errors   Output file, will contain error estimates for the NN predictions
  Predictions   File should contain table data: lines for observations (samples) and columns for variables; columns should be separated by tabulation or user-defines sybol (;, etc); no missed data allowed. The validating data is not mandatory parameter, if it is omitted, the validating will be performed on the training data.
Options
  Significant digits   String in C-type format description (without %), examples: 5.3f; .5f; 3.0f
  Check names of variables   Check names of variables from table first row:
Take 1-st line in the table
Take 1-st line in the table
  Check names of samples   Check names of samples from table first column:
Take 1-st line in the table
Take 1-st line in the table
  Column separation   Symbol for separation variables in line; by default tabulation and space.
  Commentary line 1st character   Commentary line symbol (if line starts from CommentSymbol, then this line is ignored); by default - no commentary line