ld{x}_{\bold{i}}&beta; = &beta;_{0}+&sum;_{i=1}^{p}&beta;_{i}\bold{x}_{i}</i></p>

<p><i>&beta;_{0}</i> is the intercept, <i>&beta; = (&beta;_{1},&hellip;, &beta;_{p})</i> is
a <i>p</i> <i>x</i> <i>1</i> vector of coefficients and
<i>x_{i}</i> is the <i>i_{th}</i> row of  <b>x</b>.
</p>


<h3>Value</h3>

<p>The output from  <code><a href="../../pomodoro/help/GLM_Model.html">GLM_Model</a></code>.
</p>


<h3>Examples</h3>

<pre>
yvar &lt;- c("multi.level")
sample_data &lt;- sample_data[c(1:750),]
xvar &lt;- c