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2. SPSS - Wikipedia

   en.wikipedia.org/wiki/SPSS

   SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.

3. PSPP - Wikipedia

   en.wikipedia.org/wiki/PSPP

   PSPP. PSPP is a free software application for analysis of sampled data, intended as a free alternative for IBM SPSS Statistics. It has a graphical user interface [2] and conventional command-line interface. It is written in C and uses GNU Scientific Library for its mathematical routines. The name has "no official acronymic expansion".

4. Linear discriminant analysis - Wikipedia

   en.wikipedia.org/wiki/Linear_discriminant_analysis

   Discriminant analysis works by creating one or more linear combinations of predictors, creating a new latent variable for each function. These functions are called discriminant functions. The number of functions possible is either where = number of groups, or (the number of predictors), whichever is smaller. The first function created maximizes ...

5. Partial least squares regression - Wikipedia

   en.wikipedia.org/wiki/Partial_least_squares...

   Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression [1]; instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space of maximum ...

6. SPSS Modeler - Wikipedia

   en.wikipedia.org/wiki/SPSS_Modeler

   IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. One of its main aims from the outset was to eliminate needless complexity ...

7. Singular spectrum analysis - Wikipedia

   en.wikipedia.org/wiki/Singular_spectrum_analysis

   Singular spectrum analysis. In time series analysis, singular spectrum analysis (SSA) is a nonparametric spectral estimation method. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. Its roots lie in the classical Karhunen (1946)–Loève (1945, 1978 ...