CAMO Unscrambler for Multivariate Model Development
Guided Wave spectrophotometers often rely upon multivariate models developed with CAMO's Unscrambler© software.
Discover relationships in your spectroscopic data
The Unscrambler is extensively used in industry and research for:
- Exploratory statistics
- Regression analysis
- Classification
- Prediction of concentrations
- Design of experiments
The analysis methods include:
- Descriptive statistics (mean, standard deviation, skewness, kertosis)
- Principal Component Analysis (PCA)
- Multiple Curve Resolution (MCR)
- Regression (MLR, PCR, PLS-R, 3-way PLS-R) and Prediction
- Classification (SIMCA, PLS-DA)
- ANOVA and Response Surface ANOVA
- Validation options: Leverage correction, cross validation
- Variable scaling options
- Interaction and square terms can be included in all models
- Data pre-treatment (e.g. smoothing, baseline offsets)
- Graphical displays
- Outlier detection
Unscrambler is compliant with 21CFR11 for pharmaceutical applications. It is designed to interact with other software, such as drag-n-drop with Microsoft
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