the
eigen decomposition of the covariance between variables (primal)
or observations (dual). <strong>Use this algorithm only if there is one dimension
that is much smaller than the other. Otherwise use <a href="big_randomSVD.html">big_randomSVD</a>.</strong></p>
    </div>

    <div id="ref-usage">
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">big_SVD</span><span class="op">(</span></span>
<span>  <span class="va">X</span>,</span>
<span>  fun.scaling <span class="op">=</