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  3. Factor Analysis

Factor Analysis

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Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved, uncorrelated variables called factors.

  • Generalized Linear Model
  • GLM - GLM Model Definition
  • GLM_AIC - Akaike's information criterion (AIC) of the GLM Model
  • GLM_CALIBRATE - GLM Parameters' Calibration
  • GLM_CHECK - Verify GLM Parameters' Values
  • GLM_ERRORS - GLM Parameters' Standard Errors
  • GLM_FORE - GLM Forecast
  • GLM_FORECI - GLM Forecasting Confidence Interval
  • GLM_FORESD - GLM Forecast Error
  • GLM_GUESS - Initial Values of GLM Model's Parameters
  • GLM_LLF - GLM Log Likelihood Function
  • GLM_MEAN - GLM Fitted Values
  • GLM_RESID - GLM Residuals Time Series
  • GLM_RSQ - R-Squared of GLM Model
  • GLM_VOL - Standard Deviations of the GLM Residuals
  • Simple Linear Regression (SLR) Model
  • SLR_PARAM - Simple Regression Coefficients Values
  • SLR_GOF - Goodness of fit for Simple Regression Model
  • SLR_FITTED - Simple Linear Regression Fitted Values
  • SLR_FORE - Forecasting for Simple Linear Regression Model
  • SLR_ANOVA - Simple Regression Analysis of Variance (ANOVA)
  • Multiple Linear Regression Model
  • MLR_ANOVA - Regression Analysis of Variance (ANOVA)
  • MLR_FORE - Forecasting for Linear Regression Model
  • MLR_FITTED - Linear Regression Fitted Values
  • MLR_PARAM - Multiple Linear Regression Coefficients Values
  • MLR_GOF - Goodness of fit of Linear Regression Model
  • MLR_PRFTest - Partial f-test for Regression Variables
  • MLR_STEPWISE - Regression Variables Selection Method (Stepwise)
  • Principal Component Analysis
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