diff --git a/examples/svr/svr.jl b/examples/svr/svr.jl
index 32332837..5aaa0573 120000
--- a/examples/svr/svr.jl
+++ b/examples/svr/svr.jl
@@ -1,44 +1 @@
-import Mads
-
-@info("Support Vector Regression (SVR) analysis")
-
-Random.seed!(2017)
-
-md = Mads.loadmadsfile(joinpath("..", "models", "internal-polynomial-model", "internal-polynomial.mads"))
-rootname = Mads.getmadsrootname(md)
-svrexec, svrread, svrsave, svrclean = Mads.makesvrmodel(md, 100)
-
-numberofsamples = 100
-paramdict = Mads.getparamrandom(md, numberofsamples)
-paramarray = hcat(map(i->collect(paramdict[i]), keys(paramdict))...)
-predictions = Mads.forward(md, paramdict)'
-
-Mads.madsinfo("Model predictions ...")
-Mads.spaghettiplot(md, predictions, keyword="w13a-model", format="PNG")
-Mads.display("$rootname-w13a-model-$numberofsamples-spaghetti.png")
-
-@time svrpredictions = svrexec(paramarray)
-@info("SVR discrepancy $(maximum(abs.(svrpredictions .- predictions)))")
-
-Mads.madsinfo("SVR predictions ...")
-Mads.spaghettiplot(md, svrpredictions, keyword="w13a-svr", format="PNG")
-Mads.display("$rootname-w13a-svr-$numberofsamples-spaghetti.png")
-
-sa = Mads.efast(md)
-Mads.plotobsSAresults(md, sa, format="PNG")
-Mads.display("$rootname-efast-385.png")
-
-mdsvr = deepcopy(md)
-mdsvr["Julia model"] = svrexec
-mdsvr["Filename"] = "$rootname-svr.mads"
-
-sasvr = Mads.efast(mdsvr)
-Mads.plotobsSAresults(mdsvr, sasvr, format="PNG")
-Mads.display("$rootname-svr-efast-385.png")
-
-svrsave()
-svrclean()
-svrread()
-svrclean()
-
-Mads.rmdir("svrmodels")
\ No newline at end of file
+runtests.jl
\ No newline at end of file
diff --git a/src/Mads.jl b/src/Mads.jl
index 1fea201c..afeae819 100644
--- a/src/Mads.jl
+++ b/src/Mads.jl
@@ -31,11 +31,13 @@ import Ipopt
 function julia_main()::Cint
 	if length(ARGS) > 0
 		filename = ARGS[1]
+		@info("Loading information from $(filename) ...")
+		md = Mads.loadmadsfile(filename)
+		@info("Executing calibration ...")
+		Mads.calibrate(md)
 	else
-		@warn "Arguments should be provided on the command line!"
+		@warn("Arguments should be provided on the command line!")
 	end
-	md = Mads.loadmadsfile(filename)
-	Mads.calibrate(md)
 	return 0
 end