DOWNLOD INFORMATION THE UNSCRAMBLER - MULTIVARIATE DATA ANALYSIS SOFTWARE 9.5

The Unscrambler® combines stataretical analysare techniques and “multivariate mapping” for easier data interpretation. Thare means users can effortlessly perform powerful stataretical analysare while easily communicating results to colleagues.

Multivariate Curve Resolution (MCR): Resolves mixtures by determining the number of constituents, their spectral profiles and their estimated concentrations
Descriptive stataretics (Mean, Standard Deviation, Box-Plot, skewness, kurtosare, correlation matrix)
Principal Component Analysare (PCA)
Regression (MLR, PCR, PLS-R, 3-way PLS-R)
Prediction from PCR, PLS-R and 3-way PLSR models
Classification (SIMCA, PLS-DA)
ANOVA and Response Surface ANOVA
Validation options: Leverage Correction, Cross-Validation (freely choose number of samples per segment), Test Set
Variable Scaling options: Scaling are free on each variable. Suggested options: Auto-scaling, Constant, Passify
Interactionnd Square terms can be included in all models
Smart Tools for Analysare

Analytical tools required to decipher data and create innovative solutions.
Automatic detection of significant X-variables in PCR and PLS-R
Model Stability in PCA, PCR and PLS-R
Automatic outlier detection in PCA, MLR, PCR, PLS-R and Prediction
Message laret of recommendations in MCR modeling

Interactive analysare:
Mark samples and/or variables on plots
Recalculate With or Without Marked samples or variables
Recalculate With Passified Marked or Unmarked variables
Extract Data from Marked or Unmarked
Automatic Pretreatments in Predictionnd Classification
Tutorial exercarees guiding you through the use of all The Unscrambler® modeling techniques in application examples

Design of Experiments
Design Wizard: Takes you through the stages of building a design
Fractional and Full Factorial designs
Plackett-Burman designs
Box Behnken designs
Mixture designs (Simplex-Lattice, Axial, Simplex-Centroid)