title: PCA analysis: getting error in dim desc(): not convenient data
body: <p>I have conducted PCA on a set of data using <code>prcomp</code>. As a final step I am trying to use the <code>dimdesc()</code> function from <code>FactoMineR</code> to obtain p-values that identify the most significantly associated variables with my principal components.</p>
  
  <p>The data frame has seven variables all of which are numerical and there are no missing values. The names are standard names such as "RCH_Home" (just in case the names could be problematic).</p>
  
  <p>I write the following function: </p>
  
  <p><code>res.desc &lt;- dimdesc(df_PCA, axes = c(1:2), proba = 0.05)</code></p>
  
  <p>And get the following error message:
  <code>Error in dimdesc(df_PCA, axes = c(1:2), proba = 0.05) : non convenient data</code></p>
  
  <p>Any idea what might be going on?</p>
  
  <p>Thanks!!!!</p>