What The Unscrambler can do for you Exploratory Data Analysis Discover sample patterns, hidden phenomena, and variable relationships in your data that visual inspection ot traditional statistical methods cnnot reveal. The method used for this is PCA, but you also have traditional statistical methods available. This leads to a so-called calibration or regression model. The available regression methods are MLR, PCR, PLS1, and PLS2. It is important to get representative data for the analysis.
Experimental design makes sure the samples contain information.
There are a number of screening and optimization designs available. It is also possible to analyse experimental designs using the methods above. The Unscrambler is a powerful software package which is divided in two parts. The Editor is a spreadsheet-like data table where data are displayed numerically and allows transformations. The Viewer lets you have a graphical look at your data and results.