Smooths a complete fertility schedule using Support Vector Machine regression. The parameters \(\sigma\), \(\epsilon\), and \(C\) for \(\epsilon\)-SVM can be specified using an extrainfo string. For example SVM:"Sigma=35","Epsilon=0.00006","C=2" sets \(\sigma=35\), \(\epsilon=0.00006\) and \(C=2\). The default values are \(\epsilon=0.0001\), \(\sigma=40\), and \(C=1.8\). The SVM problem is solved using LIBSVM.