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<div class="calibre2"><span class="calibre3"><span class="calibre4">Original</span></span></div> <span class="calibre5"> <a href="313.html">Previous</a> <a href="introduction.html">Top</a> <a href="315.html">Next</a> </span> <hr class="calibre6"/> <title class="calibre1"/> <div class="calibre2"><span class="calibre7"><span class="calibre8">Consensus on the original data, i.e. no standardization is performed, is a plain PCA analysis comprising scores, loadings, correlation and explained variances for the first two principal components (PC).</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">The PC number to be used may be changed by clicking the buttons with arrows on the figures. The maximum number of PCs calculated depends on how many samples or attributes the data set contains. The lowest number of any of the two will be the number of PCs calculated.</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><b class="calibre14">Further reading:</b></span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8">Risvik E. & Naes T., <i class="calibre13">Multivariate Analysis of Data in Sensory Science,</i> 1996 (Elsevier Science).</span></span></div><div class="calibre2"><span class="calibre7"><span class="calibre8"><br class="calibre10"/></span></span></div><div class="calibre2"> </div> </div> <div class="calibreEbNav"> <a href="313.html" class="calibreAPrev">previous page</a> <a href="./" class="calibreAHome"> start</a> <a href="315.html" class="calibreANext"> next page</a> </div> </div> </table> </div> </section>  </div> </div>   <div id="sidebar"> <div class="inner">   <nav id="menu"> <header class="major"> <h2>Menu</h2> </header> <ul> <li><a href="https://documentation.help/">Homepage</a></li>  </ul> <div><div class="calibreTocIndex"> <h2> Table of contents</h2> <div> <ul> <li> <a href="introduction.html">Introduction</a> </li> <li> <a href="chapter1.html">Getting started</a> </li> <li> <a href="chapter2.html">Operating PanelCHECK</a> <ul> <li> <a href="21.html">Importing data</a> </li> <li> <a href="22.html">Exporting</a> </li> <li> <a href="23.html">Enable and disable</a> </li> <li> <a href="24.html">Plots and figures</a> <ul> <li> <a href="25.html">Plots</a> </li> <li> <a href="26.html">Overview Plots</a> </li> </ul> </li> </ul> </li> <li> <a href="chapter3.html">Analysis</a> <ul> <li> <a href="31.html">Univariate</a> <ul> <li> <a href="32.html">Line Plots</a> </li> <li> <a href="33.html">Mean & STD Plots</a> </li> <li> <a href="34.html">Correlation Plots</a> </li> <li> <a href="35.html">Profile Plots</a> </li> <li> <a href="36.html">Eggshell Plots</a> </li> <li> <a href="37.html">F & p Plots</a> </li> <li> <a href="38.html">MSE Plots</a> </li> <li> <a href="39.html">p-MSE Plots</a> </li> </ul> </li> <li> <a href="310.html">Multivariate</a> <ul> <li> <a href="311.html">Tucker-1 Plots</a> </li> <li> <a href="312.html">Manhattan Plots</a> </li> </ul> </li> <li> <a href="313.html">Consensus</a> <ul> <li> <a href="314.html">Original</a> </li> <li> <a href="315.html">Standardized</a> </li> <li> <a href="316.html">STATIS</a> </li> </ul> </li> <li> <a href="317.html">Overall</a> <ul> <li> <a href="318.html">Mixed Model ANOVA</a> </li> </ul> </li> </ul> </li> </ul> </div> </div> </div> </nav>   <section> <header class="major"> <h2>Get in touch</h2> </header> <p>Submit feedback about this site to:</p> <ul class="contact"> <li class="fa-envelope-o"><a href="mailto:helpdocs@rehmann.co">helpdocs@rehmann.co</a></li> </ul> </section>  <footer id="footer"> <p class="copyright">© <a href="https://documentation.help">documentation.help</a>. Design: <a href="https://rehmann.co">rehmann.co</a>.</p> <ul class="icons">  </ul> </footer> </div> </div> </div>  <script src="/assets/js/jquery.min.js"></script> <script src="/assets/js/skel.min.js"></script> <script src="/assets/js/util.js"></script>  <script src="/assets/js/main.js"></script> </body> </html>