Raw data plotting features

Free version Full version
Coloring according to groups, classes, sets, continuous variables etc.
Scatter matrix with histogram on the diagonal
 

Principal component analysis (PCA)

Free version Full version
Access to Scores, Loadings, Scores and Loadings and Bi-plots
Coloring of plots according to groups, classes, sets, continuous variables, model results (e.g. residuals) etc.
Access to all feature plots
Prediction of new data
 

PARTIAL LEAST SQUARES (PLS)

Free version Full version
Model estimation
All relevant plots
Prediction of new data
 

Transformations

Free version Full version
Mean centering
Pareto scaling
Autoscaling
Standard Normal Variate (SNV)
Multiplicative Scatter/Signal Correction (MSC)
Derivatives (Savitzky-Golay)
Finite differences
Transmittance <-> Absorption
Normalise using 2-norm
Normalise using Infinity-norm
Extended Inverse Signal Correction (EISC)
 

Validation

Free version Full version
Full featured cross validation (cross validation according to selected variable or defined object sets, and many other schemes)
Test set validation
 

Data import/export

Free version Full version
Paste data directly from clipboard
Import from Excel
Read data from Matlab
Read CSV ASCII Files
 

Additional features

Free version Full version
Overview: All models stored in the same file
Overview: All predictions stored in the same file/td>
Copy plots directly to PowerPoint or Clipboard
Variable selection – Principal variables
Cross & square terms (non-linear models)