<?xml-stylesheet type="text/xsl" href="https://emersonexchange365.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Continuous Data Analytics – Quality Parameter Prediction</title><link>/community-hubs/deltav-community-connect/b/delta-vweblog/posts/continuous-data-analytics-quality-parameter-prediction</link><description>The prediction of quality parameters using Partial Least Squares (PLS) models is often the preferred technique when dealing with collinear data where multiple process input changes impact similar process output measurements. Predictions based on this</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator></channel></rss>