Features

  Free Version Full Version

Raw data plotting features

  • Coloring according to groups, classes, sets, continuous variables etc
[icon_font type=”check” color=”#4fe162″]​ [icon_font type=”check” color=”#4fe162″]
  • Scatter matrix with histrogram on the diagonal
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]

Principal component analysis (PCA)

  • Model estimation
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Access to Scores, Loadings, Scores and Loadings and Bi-plots
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Coloring of plots according to groups, classes, sets, continuous variables, model results (e.g. residuals) etc.
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Overview of models: all models are stored in the same file
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Access to all relevant plots
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Prediction
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]

Partial least squares (PLS)

  • Model estimation
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • All relevant plots
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Prediction with automatic transformation
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]

Transformations

  • Mean centering
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Pareto scaling
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Auto scaling
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Standard Normal Variates
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Multiplicative Scatter/Signal Correction
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Derivatives (Savitzky-Golay)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • 2nd Derivative (Finite Differences)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Transmittance -> Absorption (-log10)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Normalise using 2-norm
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Normalise using Infinity-norm
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Entented Inverse Signal Correction (EISC)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]

Validation

  • Cross validation (cross validation according to selected variable  or defined object sets, and many other schemes)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Test set validation
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]

Data import/export

  • Clipboard and Cut&Paste
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Excel (via clipboard and file)
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • MATLAB (ver. 5 and later)
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • ASCII file (import only)
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]

Additional features

  • Overview: All models stored in the same file
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Overview: All predictions stored in the same file
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Copy plots directly to PowerPoint or Clipboard
[icon_font type=”check” color=”#4fe162″] [icon_font type=”check” color=”#4fe162″]
  • Variable selection – Principal variables
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]
  • Cross & square terms (non-linear models)
[icon_font type=”close” color=”#e94949″] [icon_font type=”check” color=”#4fe162″]