t.</li>
  <li>An automatical fit returns the optimal DF based on different goodness of fit metrics.</li>
  <li>The resulting fit of a given <em>DF</em> can be visualised (and compare manual vs automated selection).</li>
  <li>
    The number of trajectories that must be rejected due to a too low number of observations <em>(depending on the <em>DF</em> selected)</em> can be visualised.
  </li>
</ul>
<h3 style="color:#3e648d;font-weight:bold">2 - Analysis</h3>
<p>Once the data imported, each variable can be f