<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<oembed>
  <author_name>cross_hyou</author_name>
  <author_url>https://blog.hatena.ne.jp/cross_hyou/</author_url>
  <blog_title>Rで何かをしたり、読書をするブログ</blog_title>
  <blog_url>https://www.crosshyou.info/</blog_url>
  <categories>
    <anon>Data_Analysis</anon>
  </categories>
  <description>Photo by Aron Visuals on Unsplash www.crosshyou.info This post is following of the above post.In this post, I will do PCA(Principal Component Analysis). I refer below web site.Principal Component Analysis (PCA) 101, using R | by Peter Nistrup | Towards Data Science Firstly, I will make subset for PC…</description>
  <height>190</height>
  <html>&lt;iframe src=&quot;https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.crosshyou.info%2Fentry%2F2022%2F01%2F01%2F205342&quot; title=&quot;OECD Purchasing power parities (PPP) data analysis 5 - PCA (Principal Component Analysis) using R. - Rで何かをしたり、読書をするブログ&quot; class=&quot;embed-card embed-blogcard&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;&quot;&gt;&lt;/iframe&gt;</html>
  <image_url>https://cdn-ak.f.st-hatena.com/images/fotolife/c/cross_hyou/20220101/20220101200456.jpg</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2022-01-01 20:53:42</published>
  <title>OECD Purchasing power parities (PPP) data analysis 5 - PCA (Principal Component Analysis) using R.</title>
  <type>rich</type>
  <url>https://www.crosshyou.info/entry/2022/01/01/205342</url>
  <version>1.0</version>
  <width>100%</width>
</oembed>
