class RooFitResult: public TNamed, public RooPrintable, public RooDirItem

 Constructor with name and title
 coverity[UNINIT_CTOR]

 Copy constructor

 Destructor

 Fill the list of constant parameters

 Fill the list of initial values of the floating parameters

 Fill the list of final values of the floating parameters

 Add objects to a 2D plot that represent the fit results for the
 two named parameters.  The input frame with the objects added is
 returned, or zero in case of an error.  Which objects are added
 are determined by the options string which should be a concatenation
 of the following (not case sensitive):

   M - a marker at the best fit result
   E - an error ellipse calculated at 1-sigma using the error matrix at the minimum
   1 - the 1-sigma error bar for parameter 1
   2 - the 1-sigma error bar for parameter 2
   B - the bounding box for the error ellipse
   H - a line and horizontal axis for reading off the correlation coefficient
   V - a line and vertical axis for reading off the correlation coefficient
   A - draw axes for reading off the correlation coefficients with the H or V options

 You can change the attributes of objects in the returned RooPlot using the
 various RooPlot::getAttXxx(name) member functions, e.g.

   plot->getAttLine("contour")->SetLineStyle(kDashed);

 Use plot->Print() for a list of all objects and their names (unfortunately most
 of the ROOT builtin graphics objects like TLine are unnamed). Drag the left mouse
 button along the labels of either axis button to interactively zoom in a plot.

 Return a list of floating parameter values that are perturbed from the final
 fit values by random amounts sampled from the covariance matrix. The returned
 object is overwritten with each call and belongs to the RooFitResult. Uses
 the "square root method" to decompose the covariance matrix, which makes inverting
 it unnecessary.

 Return the correlation between parameters 'par1' and 'par2'

 Return the set of correlation coefficients of parameter 'par' with
 all other floating parameters

 Return the global correlation of the named parameter

 Return the list of all global correlations

 Return a correlation matrix element addressed with numeric indices.

 Return the covariance matrix element addressed with numeric indices.

 Print fit result to stream 'os'. In Verbose mode, the contant parameters and
 the initial and final values of the floating parameters are printed.
 Standard mode only the final values of the floating parameters are printed

 Function called by RooMinimizer

 Sanity check

 Internal utility method to extract the correlation matrix and the
 global correlation coefficients from the MINUIT memory buffer and
 fill the internal arrays.

 Return true if this fit result is identical to other within tolerance 'tol' on fitted values
 and tolerance 'tolCor' on correlation coefficients

 Import the results of the last fit performed by gMinuit, interpreting
 the fit parameters as the given varList of parameters.

 Store externally provided correlation matrix in his RooFitResult ;

 Return TH2D of correlation matrix

 Return covariance matrix

 Return a reduced covariance matrix, which is calculated as
        ___                   -1
 Vred = V22  = V11 - V12 * V22   * V21

 Where V11,V12,V21,V22 represent a block decomposition of the covariance matrix into observables that
 are propagated (labeled by index '1') and that are not propagated (labeled by index '2'), and V22bar
 is the Shur complement of V22, calculated as shown above

 (Note that Vred is _not_ a simple sub-matrix of V)

 Return correlation matrix ;

 Return a p.d.f that represents the fit result as a multi-variate probability densisty
 function on the floating fit parameters, including correlations

 Change name of RooFitResult object

 Change name and title of RooFitResult object

 Print name of fit result

 Print title of fit result

 Print class name of fit result

 Print arguments of fit result, i.e. the parameters of the fit

 Print the value of the fit result, i.e.g the status, minimized FCN, edm and covariance quality code

 Configure default contents to be printed

 Configure mapping of Print() arguments to RooPrintable print styles

 Stream an object of class RooFitResult.

 Printing interface

 Accessors

 Return MINUIT quality code of covariance matrix

 Return number of NLL evaluations with problems

 Return estimated distance to minimum

 Return minimized -log(L) value

 Return list of constant parameters

 Return list of floating parameters before fit

 Return list of floarting parameters after fit

 Return correlation between par1 and par2

 Global correlation accessors

 Add objects to a 2D plot