## 17 Not Implemented

This chapter lists parts of the pspp language that are not yet implemented.

`2SLS`
  Two stage least squares regression
`ACF`
  Autocorrelation function
`ALSCAL`
  Multidimensional scaling
`ANACOR`
  Correspondence analysis
`ANOVA`
  Factorial analysis of variance
`CASEPLOT`
  Plot time series
`CASESTOVARS`
  Restructure complex data
`CATPCA`
  Categorical principle components analysis
`CATREG`
  Categorical regression
`CCF`
  Time series cross correlation
`CLEAR TRANSFORMATIONS`
  Clears transformations from active dataset
`CLUSTER`
  Hierarchical clustering
`CONJOINT`
  Analyse full concept data
`CORRESPONDENCE`
  Show correspondence
`COXREG`
  Cox proportional hazards regression
`CREATE`
  Create time series data
`CSDESCRIPTIVES`
  Complex samples descriptives
`CSGLM`
  Complex samples GLM
`CSLOGISTIC`
  Complex samples logistic regression
`CSPLAN`
  Complex samples design
`CSSELECT`
  Select complex samples
`CSTABULATE`
  Tabulate complex samples
`CTABLES`
  Display complex samples
`CURVEFIT`
  Fit curve to line plot
`DATE`
  Create time series data
`DEFINE`
  Syntax macros
`DETECTANOMALY`
  Find unusual cases
`DISCRIMINANT`
  Linear discriminant analysis
`EDIT`
  obsolete
`END FILE TYPE`
  Ends complex data input
`FILE TYPE`
  Complex data input
`FIT`
  Goodness of Fit
`GENLOG`
  Categorical model fitting
`GET TRANSLATE`
  Read other file formats
`GGRAPH`
  Custom defined graphs
`GRAPH`
  Draw graphs
`HILOGLINEAR`
  Hierarchical loglinear models
`HOMALS`
  Homogeneity analysis
`IGRAPH`
  Interactive graphs
`INFO`
  Local Documentation
`KEYED DATA LIST`
  Read nonsequential data
`KM`
  Kaplan-Meier
`LOGISTIC REGRESSION`
  Regression Analysis
`LOGLINEAR`
  General model fitting
`MANOVA`
  Multivariate analysis of variance
`MAPS`
  Geographical display
`MATRIX`
  Matrix processing
`MATRIX DATA`
  Matrix data input
`MCONVERT`
  Convert covariance/correlation matrices
`MIXED`
  Mixed linear models
`MODEL CLOSE`
  Close server connection
`MODEL HANDLE`
  Define server connection
`MODEL LIST`
  Show existing models
`MODEL NAME`
  Specify model label
`MULTIPLE CORRESPONDENCE`
  Multiple correspondence analysis
`MULT RESPONSE`
  Multiple response analysis
`MVA`
  Missing value analysis
`NAIVEBAYES`
  Small sample bayesian prediction
`NLR`
  Non Linear Regression
`NOMREG`
  Multinomial logistic regression
`NONPAR CORR`
  Nonparametric correlation
`NUMBERED`
`OLAP CUBES`
  On-line analytical processing
`OMS`
  Output management
`ORTHOPLAN`
  Orthogonal effects design
`OVERALS`
  Nonlinear canonical correlation
`PACF`
  Partial autocorrelation
`PARTIAL CORR`
  Partial correlation
`PLANCARDS`
  Conjoint analysis planning
`PLUM`
  Estimate ordinal regression models
`POINT`
  Marker in keyed file
`PPLOT`
  Plot time series variables
`PREDICT`
  Specify forecast period
`PREFSCAL`
  Multidimensional unfolding
`PRINCALS`
  PCA by alternating least squares
`PROBIT`
  Probit analysis
`PROCEDURE OUTPUT`
  Specify output file
`PROXIMITIES`
  Pairwise similarity
`PROXSCAL`
  Multidimensional scaling of proximity data
`RATIO STATISTICS`
  Descriptives of ratios
`READ MODEL`
  Read new model
`RECORD TYPE`
  Defines a type of record within FILE TYPE
`REFORMAT`
  Read obsolete files
`REPEATING DATA`
  Specify multiple cases per input record
`REPORT`
  Pretty print working file
`RMV`
  Replace missing values
`SCRIPT`
  Run script file
`SEASON`
  Estimate seasonal factors
`SELECTPRED`
  Select predictor variables
`SPCHART`
  Plot control charts
`SPECTRA`
  Plot spectral density
`SUMMARIZE`
  Univariate statistics
`SURVIVAL`
  Survival analysis
`TDISPLAY`
  Display active models
`TREE`
  Create classification tree
`TSAPPLY`
  Apply time series model
`TSET`
  Set time sequence variables
`TSHOW`
  Show time sequence variables
`TSMODEL`
  Estimate time series model
`TSPLOT`
  Plot time sequence variables
`TWOSTEP CLUSTER`
  Cluster observations
`UNIANOVA`
  Univariate analysis
`UNNUMBERED`
  obsolete
`VALIDATEDATA`
  Identify suspicious cases
`VARCOMP`
  Estimate variance
`VARSTOCASES`
  Restructure complex data
`VERIFY`
  Report time series
`WLS`
  Weighted least squares regression
`XGRAPH`
  High resolution charts