Updating fitters that did not compile and Tutorials typos.

configs/qt/eigen.prf

+# This configuration file is part of ALTA library
+#
+# Configuration file for the Eigen package required for the CORE and
+# some PLUGINS. You need to have the env variable ALTA defined.
+
+INCLUDEPATH += $$(ALTA)/external/build/include $$(ALTA)/external/build/include/Eigen

documents/tutorials.dox

@@ -22,7 +22,7 @@ First, download the Kirby2 dataset in ALTA format: <a href="http://alta.gforge.i
 The result can be exported using the \a brdf2data commands.
 
 \verbatim
- $ ./build/data2gnuplot --input Kirby.brdf --output Kirby.dat --in-data ../data/1d/NIST/Kirby2/Kirby2.dat
+ $ ./build/brdf2data --input Kirby.brdf --output Kirby.dat --data-file ../data/1d/NIST/Kirby2/Kirby2.dat
 \endverbatim
 
 The \a brdf2data allows you to export a function into a data file. If no data plugin is specified, the ALTA format is used which is gnuplot compliant. The position of evaluation for the function are taken from a specified data file (here the original Kirby2 file).

sources/plugins/nonlinear_fitter_ceres/fitter.cpp

@@ -105,7 +105,7 @@ nonlinear_fitter_ceres::~nonlinear_fitter_ceres()
 {
 }
 
-bool nonlinear_fitter_ceres::fit_data(const ptr<data>& d, const ptr<function>& fit, const arguments &args)
+bool nonlinear_fitter_ceres::fit_data(const ptr<data>& d, ptr<function>& fit, const arguments &args)
 {
     // I need to set the dimension of the resulting function to be equal
     // to the dimension of my fitting problem

sources/plugins/nonlinear_fitter_ceres/fitter.h

@@ -61,7 +61,7 @@ class nonlinear_fitter_ceres: public fitter
 
 		// Fitting a data object
 		//
-		virtual bool fit_data(const ptr<data>& d, const ptr<function>& fit, const arguments& args) ;
+		virtual bool fit_data(const ptr<data>& d, ptr<function>& fit, const arguments& args) ;
 
 		// Provide user parameters to the fitter
 		//

sources/plugins/nonlinear_fitter_eigen/fitter.cpp

@@ -275,7 +275,7 @@ nonlinear_fitter_eigen::~nonlinear_fitter_eigen()
 {
 }
 
-bool nonlinear_fitter_eigen::fit_data(const ptr<data>& d, const ptr<function>& fit, const arguments &args)
+bool nonlinear_fitter_eigen::fit_data(const ptr<data>& d, ptr<function>& fit, const arguments &args)
 {
     // I need to set the dimension of the resulting function to be equal
     // to the dimension of my fitting problem

sources/plugins/nonlinear_fitter_eigen/fitter.h

@@ -45,7 +45,7 @@ class nonlinear_fitter_eigen: public fitter
 
 		// Fitting a data object
 		//
-		virtual bool fit_data(const ptr<data>& d, const ptr<function>& fit, const arguments& args) ;
+		virtual bool fit_data(const ptr<data>& d, ptr<function>& fit, const arguments& args) ;
 
 		// Provide user parameters to the fitter
 		//