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


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)