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@c Generated from ../src/language/command.def by get-commands.py
@c Do not modify!
@table @asis
@item @cmd{2SLS}
Two stage least squares regression
@item @cmd{ACF}
Autocorrelation function
@item @cmd{ALSCAL}
Multidimensional scaling
@item @cmd{ANACOR}
Correspondence analysis
@item @cmd{ANOVA}
Factorial analysis of variance
@item @cmd{CASEPLOT}
Plot time series
@item @cmd{CASESTOVARS}
Restructure complex data
@item @cmd{CATPCA}
Categorical principle components analysis
@item @cmd{CATREG}
Categorical regression
@item @cmd{CCF}
Time series cross correlation
@item @cmd{CLEAR TRANSFORMATIONS}
Clears transformations from active dataset
@item @cmd{CLUSTER}
Hierarchical clustering
@item @cmd{CONJOINT}
Analyse full concept data
@item @cmd{CORRESPONDENCE}
Show correspondence
@item @cmd{COXREG}
Cox proportional hazards regression
@item @cmd{CREATE}
Create time series data
@item @cmd{CSDESCRIPTIVES}
Complex samples descriptives
@item @cmd{CSGLM}
Complex samples GLM
@item @cmd{CSLOGISTIC}
Complex samples logistic regression
@item @cmd{CSPLAN}
Complex samples design
@item @cmd{CSSELECT}
Select complex samples
@item @cmd{CSTABULATE}
Tabulate complex samples
@item @cmd{CURVEFIT}
Fit curve to line plot
@item @cmd{DATE}
Create time series data
@item @cmd{DETECTANOMALY}
Find unusual cases
@item @cmd{DISCRIMINANT}
Linear discriminant analysis
@item @cmd{EDIT}
obsolete
@item @cmd{END FILE TYPE}
Ends complex data input
@item @cmd{FILE TYPE}
Complex data input
@item @cmd{FIT}
Goodness of Fit
@item @cmd{GENLOG}
Categorical model fitting
@item @cmd{GET TRANSLATE}
Read other file formats
@item @cmd{GGRAPH}
Custom defined graphs
@item @cmd{HILOGLINEAR}
Hierarchical loglinear models
@item @cmd{HOMALS}
Homogeneity analysis
@item @cmd{IGRAPH}
Interactive graphs
@item @cmd{INFO}
Local Documentation
@item @cmd{KEYED DATA LIST}
Read nonsequential data
@item @cmd{KM}
Kaplan-Meier
@item @cmd{LOGLINEAR}
General model fitting
@item @cmd{MANOVA}
Multivariate analysis of variance
@item @cmd{MAPS}
Geographical display
@item @cmd{MIXED}
Mixed linear models
@item @cmd{MODEL CLOSE}
Close server connection
@item @cmd{MODEL HANDLE}
Define server connection
@item @cmd{MODEL LIST}
Show existing models
@item @cmd{MODEL NAME}
Specify model label
@item @cmd{MULTIPLE CORRESPONDENCE}
Multiple correspondence analysis
@item @cmd{MULT RESPONSE}
Multiple response analysis
@item @cmd{MVA}
Missing value analysis
@item @cmd{NAIVEBAYES}
Small sample bayesian prediction
@item @cmd{NLR}
Non Linear Regression
@item @cmd{NOMREG}
Multinomial logistic regression
@item @cmd{NONPAR CORR}
Nonparametric correlation
@item @cmd{NUMBERED}
@item @cmd{OLAP CUBES}
On-line analytical processing
@item @cmd{OMS}
Output management
@item @cmd{ORTHOPLAN}
Orthogonal effects design
@item @cmd{OVERALS}
Nonlinear canonical correlation
@item @cmd{PACF}
Partial autocorrelation
@item @cmd{PARTIAL CORR}
Partial correlation
@item @cmd{PLANCARDS}
Conjoint analysis planning
@item @cmd{PLUM}
Estimate ordinal regression models
@item @cmd{POINT}
Marker in keyed file
@item @cmd{PPLOT}
Plot time series variables
@item @cmd{PREDICT}
Specify forecast period
@item @cmd{PREFSCAL}
Multidimensional unfolding
@item @cmd{PRINCALS}
PCA by alternating least squares
@item @cmd{PROBIT}
Probit analysis
@item @cmd{PROCEDURE OUTPUT}
Specify output file
@item @cmd{PROXIMITIES}
Pairwise similarity
@item @cmd{PROXSCAL}
Multidimensional scaling of proximity data
@item @cmd{RATIO STATISTICS}
Descriptives of ratios
@item @cmd{READ MODEL}
Read new model
@item @cmd{RECORD TYPE}
Defines a type of record within FILE TYPE
@item @cmd{REFORMAT}
Read obsolete files
@item @cmd{REPEATING DATA}
Specify multiple cases per input record
@item @cmd{REPORT}
Pretty print working file
@item @cmd{RMV}
Replace missing values
@item @cmd{SCRIPT}
Run script file
@item @cmd{SEASON}
Estimate seasonal factors
@item @cmd{SELECTPRED}
Select predictor variables
@item @cmd{SPCHART}
Plot control charts
@item @cmd{SPECTRA}
Plot spectral density
@item @cmd{STEMLEAF}
Plot stem-and-leaf display
@item @cmd{SUMMARIZE}
Univariate statistics
@item @cmd{SURVIVAL}
Survival analysis
@item @cmd{TDISPLAY}
Display active models
@item @cmd{TREE}
Create classification tree
@item @cmd{TSAPPLY}
Apply time series model
@item @cmd{TSET}
Set time sequence variables
@item @cmd{TSHOW}
Show time sequence variables
@item @cmd{TSMODEL}
Estimate time series model
@item @cmd{TSPLOT}
Plot time sequence variables
@item @cmd{TWOSTEP CLUSTER}
Cluster observations
@item @cmd{UNIANOVA}
Univariate analysis
@item @cmd{UNNUMBERED}
obsolete
@item @cmd{VALIDATEDATA}
Identify suspicious cases
@item @cmd{VARCOMP}
Estimate variance
@item @cmd{VARSTOCASES}
Restructure complex data
@item @cmd{VERIFY}
Report time series
@item @cmd{WLS}
Weighted least squares regression
@item @cmd{XGRAPH}
High resolution charts
@end table
@c Local Variables:
@c buffer-read-only: t
@c End:
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