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Descriptive Statistics Mean/ Std Dev/ Quartiles/ Cross Correlations/ Scatter EffectsStatistical Tests Normality Test/ t-Tests/ F-Tests/ Mardia’s Multivariate TestCluster Analysis K-means / K-medians Ward’s methodHierarchical Cluster Analysis (HCA) with dendrograms Principal Component Analysis (PCA) Choice of using NIPALS or SVD algorithmsRotation methods including Varimax, Equimax, Quartimax and Parsimax Multivariate Curve Resolution (MCR) Resolve time evolving data such as chemical reaction or chromatographic data into pure constituent profiles and pure spectra |
Regression Methods Multiple Linear Regression (MLR) / Principal Component Regression (PCR) and Partial Least Squares Regression (PLSR)Choice of algorithms, NIPALS and SVD for PCR and NIPALS, Kernel Methods and Orthogonal Scores for PLSR Improved Test Set Validation options Q-Residuals in influence plots L-PLS, incorporating three data tables for greater insights into data structure Advanced Classification Methods Projection using PCA and PLS modelsSoft Independent Modelling of Class Analogy (SIMCA) now also incorporating PLS models Linear Discriminant Analysis (LDA) Support Vector Machines (SVM) Classification with numerous kernel types |
Spectral Functions Smoothing Spectroscopic: Reflectance/ Transmission/ Kubelka-Munck Scatter Correction and Advanced Functions Multiplicative and Extended Multiplicative Scatter Correction (MSC/ EMSC)Standard Normal Variate (SNV) Deresolve Detrending General Transforms Improved Centre and Scale optionsSpectroscopic: Reflectance/ Transmission/ Kubelka-Munck Interaction & Squares and Individual Variable Weighting Compute General Fill Missing Values Correlation Optimization Warping (COW) |
Improved Design Wizard Interactive design setup with full descriptions and Beginner/ Expert modesComplete range of full and fractional factorial designs Enhanced optimization designs including Central Composite (CCD) and Box-Behnken (BB) designs Enhanced mixture designs including Axial, Simplex Lattice and Simplex Centroid designs Choice of Analysis Algorithms Classical MLR and ANOVA-PLS for non-orthogonal designsPLSR or Scheffe Polynomials for mixture designs Comprehensive Analysis Overview ANOVA tables and other tabular resultsCube Plots Response Surfaces Analysis of Effects Interactive Tables |
The Unscrambler® X ( a GenX suite of products ) represents the single largest redesign of CAMO Software’s flagship product The Unscrambler®. Featuring an enhanced user friendly interface, superior graphics and new state-of-the-art methods, The Unscrambler® X provides the most flexible and adaptable approach to Multivariate Data Analysis (MVA) and Design of Experiments (DoE) available. The Unscrambler® X reaches out to a wider audience of data analysts, and process control applications, while still maintaining a strong commitment to our spectroscopic & sensory data analysis users.
