File: ni.texi

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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: