Factor Analysis

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