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| Data Pretreatments |
| Smoothing: Moving Average, Savitzky Golay, Median filter, Gaussian filter |
| Normalize: Area, Unit Vector, Mean, Maximum, Range, Peak |
| Design of Experiments |
| Design Wizard: Takes you through the stages of building a design |
| Factorial(F) and Fractional Factorial (FF) designs |
| Exploratory Data Analysis |
| Descriptive Statistics (Mean, Standard Deviation, Box-Plot,Skewness, Kurtosis, Cross - Correlation (Matrix Plot), Histogram, Probability Plot) |
| Principal Component Analysis (PCA), PCA Projection |
| Regression and Classification |
| Automatic detection of significant X-variables in PCR, PLS-R and PCA (Marten’s Uncertainty Test on Cross Validation, Stability Plots) |
| Automatic outlier detection in PCA, MLR, PCR, PLS-R and Prediction |
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