**Descriptive Statistics**

Mean/ Std Dev/ Quartiles/ Cross Correlations/ Scatter Effects

**Statistical Tests **

Normality Test/ t-Tests/ F-Tests/ Mardia’s Multivariate Test

**Cluster Analysis**

K-means / K-medians Ward’s method

Hierarchical Cluster Analysis (HCA) with dendrograms

**Principal Component Analysis (PCA)**

Choice of using NIPALS or SVD algorithms

Rotation methods including Varimax, Equimax, Quartimax and Parsimax

**Multivariate Curve Resolution (MCR)**

**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**

Soft 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

Derivatives: Moving Average/ Norris Gap/ Savitzky-Golay

Baseline Correction

Normalization

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**

Spectroscopic: Reflectance/ Transmission/ Kubelka-Munck

Interaction & Squares and Individual Variable Weighting

Compute General

Fill Missing Values

Correlation Optimization Warping (COW)

Two-level, general and optimal factorial split-plot designs

Half-normal selection of effects from spiltplot experiments with test matrices that are balanced and orthogonal

Power calculated for spilt plots versus the alternative of complete randomization

Entry fields for confirmation data and calculation of mean results

Enter verification runs embedded within blocks as controls or appended to your completed design

Verification points displayed on model graphs and raw residual disgnistics

Journal feature to export data directly to Microsoft Word or Powerpoint

Copy/paste of Final Equation from ANOVA to Microsoft Excel

New XML script commands for exporting point predictions Interactive Tables

Definitive screening designs

Select a simple-sample design for mean-model only

One-sided option added to FDS graph Interactive Tables

Enter a single factor constraint for response surface designs

Adjustably-tuned LOESS fit line for Graph Columns