class ROOT::Fit::BinData: public ROOT::Fit::FitData

      constructor from dimension of point  and max number of points (to pre-allocate vector)
      Give a zero value and then use Initialize later one if the size is not known

      constructor from option and default range

      constructor from options and range
      efault is 1D and value errors

 constructurs using external data 

      constructor from external data for 1D with errors on  coordinate and value

      constructor from external data for 2D with errors on  coordinate and value

      constructor from external data for 3D with errors on  coordinate and value

      copy constructors

       assignment operator

      destructor

      preallocate a data set with given size ,  dimension and error type (to get the full point size)
      If the data set already exists and it is having the compatible point size space for the new points
      is created in the data sets, while if not compatible the old data are erased and new space of
      new size is allocated.
      (i.e if exists initialize is equivalent to a resize( NPoints() + maxpoints)

      return the size of a fit point (is the coordinate dimension + 1 for the value and eventually
      the number of all errors

      return the size of internal data  (number of fit points)
      if data are not copied in but used externally the size is 0

      flag to control if data provides error on the coordinates

      flag to control if data provides asymmetric errors on the value

      add one dim data with only coordinate and values

      add one dim data with no error in the coordinate (x)
      in this case store the inverse of the error in the value (y)

      add one dim data with  error in the coordinate (x)
      in this case store the value (y)  error and not the inverse

      add one dim data with  error in the coordinate (x) and asymmetric errors in the value (y)
      in this case store the y errors and not the inverse

      add multi-dim coordinate data with only value (no errors)

      add multi-dim coordinate data with only error in value

      add multi-dim coordinate data with both error in coordinates and value

      add multi-dim coordinate data with both error in coordinates and value

      return a pointer to the coordinates data for the given fit point

      return the value for the given fit point

      return error on the value for the given fit point
      Safe (but slower) method returning correctly the error on the value
      in case of asymm errors return the average 0.5(eu + el)

      Return the inverse of error on the value for the given fit point
      useful when error in the coordinates are not stored and then this is used directly this as the weight in
      the least square function

      Return a pointer to the errors in the coordinates for the given fit point

      retrieve at the same time a  pointer to the coordinate data and the fit value
      More efficient than calling Coords(i) and Value(i)

      retrieve in a single call a pointer to the coordinate data, value and inverse error for
      the given fit point.
      To be used only when type is kValueError or kNoError. In the last case the value 1 is returned
      for the error.

      Retrieve the errors on the point (coordinate and value) for the given fit point
      It must be called only when the coordinate errors are stored otherwise it will produce an
      assert.

      Get errors on the point (coordinate errors and asymmetric value errors) for the
      given fit point.
      It must be called only when the coordinate errors and asymmetric errors are stored
      otherwise it will produce an assert.

      resize the vector to the new given npoints
      if vector does not exists is created using existing point size

      return number of fit points

      return number of fit points

      return coordinate data dimension

      apply a Log transformation of the data values
      can be used for example when fitting an exponential or gaussian
      Transform the data in place need to copy if want to preserve original data
      The data sets must not contain negative values. IN case it does,
      an empty data set is returned

       return an array containing the upper edge of the bin for coordinate i
       In case of empty bin they could be merged in a single larger bin
       Return a NULL pointer  if the bin width  is not stored

      query if the data store the bin edges instead of the center

       add the bin width data, a pointer to an array with the bin upper edge information.
       This is needed when fitting with integral options
       The information is added for the previously inserted point.
       BinData::Add  must be called before

       retrieve the reference volume used to normalize the data when the option bin volume is set

      set the reference volume used to normalize the data when the option bin volume is set

      compute the total sum of the data content
      (sum of weights in cse of weighted data set)

      compute the total sum of the error square
      (sum of weight square in case of a weighted data set)