mlr: moving example to a separate folder

doc/doxygen/chapters/370_online_performance_tools.doxy

@@ -417,7 +417,7 @@ function, which should be defined by the user. \f$\alpha, \beta,
 are computed automatically at the end of the execution, using least
 squares method of the <c>dgels_</c> LAPACK function.
 
-<c>examples/basic_examples/mlr.c</c> example provides more details on
+<c>examples/mlr/mlr.c</c> example provides more details on
 the usage of ::STARPU_MULTIPLE_REGRESSION_BASED models.
 
 Coefficients computation is done at the end of the execution, and the

examples/Makefile.am

@@ -193,13 +193,13 @@ STARPU_EXAMPLES +=				\
 if !STARPU_SIMGRID
 STARPU_EXAMPLES +=				\
 	basic_examples/hello_world		\
-	basic_examples/mlr			\
 	basic_examples/vector_scal		\
 	basic_examples/mult			\
 	basic_examples/block			\
 	basic_examples/variable			\
 	basic_examples/multiformat              \
 	basic_examples/dynamic_handles          \
+	mlr/mlr					\
 	cpp/incrementer_cpp			\
 	filters/fvector				\
 	filters/fblock				\

tools/starpu_mlr_analysis.Rmd

@@ -66,7 +66,7 @@ This document demonstrates the type of the analysis needed to compute
 the multiple linear regression model of the task. It relies on the
 input data benchmarked by the StarPU (or any other tool, but following
 the same format). The input data used in this example is generated by
-the task "mlr_init", from the "examples/basic_examples/mlr.c".
+the task "mlr_init", from the "examples/mlr/mlr.c".
 
 This document can be used as an template for the analysis of any other
 task.