XLSTAT Features overview

XLSTAT Features by solution.

XLSTAT-Base features

Solutions features

Check the appropriate solution to know what specific features you will find inside. Selecting more than one at the same time displays the combined features of the selection.

Sensory data analysis
Preference Mapping (PREFMAP)
Internal preference mapping
Penalty analysis
Product characterization
Panel analysis
CATA data analysis
Temporal Dominance of Sensations (TDS)
TURF analysis
Generalized Bradley-Terry model
Sensory shelf life analysis
Design of experiments for sensory discrimination tests
Sensory discrimination tests
DOE for sensory data analysis
Multiple Factor Analysis (MFA)
Generalized Procrustes Analysis (GPA)
Conjoint analysis
DoE for conjoint analysis
Conjoint analysis
DoE for choice based conjoint (CBC) analysis
Choice based conjoint analysis
MaxDiff analysis
Simulation for conjoint analysis
MONANOVA - Monotone regression
Conditional Logit model
Time series analysis
Time series descriptive statistics
Time series transformation
Smoothing of time series
Mann-Kendall Trend Tests
Cointegration tests
Unit root and stationarity tests
Homogeneity tests for time series
Heteroscedasticity tests
Durbin-Watson test
Cochrane-Orcutt model
Fourier transform
Spectral analysis
Monte Carlo simulations (only for Windows OS)
Monte Carlo simulations
Power analysis
Statistical Power for mean comparison
Statistical Power to compare variances
Statistical Power for proportion comparison
Statistical Power for comparing correlations
Statistical Power for linear regression
Statistical Power for ANOVA / ANCOVA / Repeated measures ANOVA
Statistical Power for logistic regression
Statistical Power for Cox model
Sample size for clinical trials
Statistical Process Control
Individual charts
Subgroup charts
Attribute charts
Time Weighted charts
Pareto charts
Gage Repeatability and Reproducibility (Quantitative)
Gage Repeatability and Reproducibility for Attributes
Design of Experiments
Screening designs
Analysis of a screening design
Surface response designs
Analysis of a surface response design
Mixture design
Analysis of a mixture design
Survival analysis
Life table analysis
Kaplan-Meier analysis
Cox proportional hazards models
Sensitivity and specificity analysis
ROC curves
Nelson-Aalen analysis
Cumulative incidence
Parametric survival regression (Weibull model)
Parametric survival curves
Method validation
Method comparison (Bland Altman, …)
Passing and Bablok regression
Deming regression
OMICS data analysis
Differential expression
Heat map
Multiblock data analysis
Canonical Correspondence Analysis (CCA and partial CCA)
Canonical Correlation Analysis (CCorA)
Redundancy analysis (RDA)
Generalized Procrustes Analysis (GPA)
Multiple Factor Analysis (MFA)
Path modeling (only for Windows OS)
PLS Path Modelling
Regularized Generalized Canonical Correlation Analysis (RGCCA)
Generalized Structured Component Analysis (GSCA)
Dose effect analysis
Dose effect analysis
Four/Five-parameter parallel lines logistic regression


3D visualization(optional)(optional)(optional)(optional)(optional)(optional)(optional)(optional)
Latent Class cluster models(optional)(optional)(optional)(optional)(optional)(optional)(optional)(optional)
Latent Class regression models(optional)(optional)(optional)(optional)(optional)(optional)(optional)(optional)