Principal Component Analysis

The leading source for professional development COURSES in statistics

中文 Course Login

Our Courses

Calendar

Faculty

Catalogue

List >

Introductory >

Begin Intro

Begin Survey

Intro Stats 1

Intro Stats 1 AP

Intro Stats 2

Intro Stats 2 AP

Intro Stats 3

Data Mining >

Cluster Analysis

Data Mining 1 - Intro

Data Mining 2 - Unsupervised

Decision Trees

Logistic Reg. - Advanced

Microarray Analysis

Natural Language Processing

Text Mining

Life Science >

Adaptive Trials

Biostatistics

Clinical Trials

Clinical-Bayes

Epi 1 - Fundamentals

Epi 2 - Bias

Epi 3 - Analysis

Logistic Reg. - Advanced

Meta Analysis

Microarray Analysis

Nonparametrics

Survival

Engineering >

DOE - Design Experiments

DOE Advanced

Engineering

Logistic Reg. - Advanced

Risk Analysis

SPC

SPC Advanced

Environment >

Environmental

Environmental Bayesian

Environmental Sampling

Geostatistics

Logistic Reg. - Advanced

Social Science >

Choice Modeling

Facets

GLM

Logistic Reg. - Advanced

Longitudinal Data

Nonparametrics

Rasch

Rasch Further

SEM

SEM Advanced

Survey Analysis

Survey Design

Business >

Choice Modeling

Data Mining 1 - Intro

Data Mining 2 - Unsupervised

Financial Risk

Forecasting

Forecasting - Advanced

Logistic Reg. - Advanced

National Income

Natural Language Processing

Risk Analysis

Stat Methods >

Bayesian MCMC

Bayesian Statistics

Bootstrap

Categorical 1

Categorical 2

Cluster Analysis

Count Data

DOE - Design Experiments

Engineering

Forecasting

Forecasting - Advanced

GLM

Logistic Reg. - Advanced

Logistic Regression

Missing Data

Mixed Models

Multivariate

Nonparametrics

Randomization

Regression

Resampling

SPC Advanced

Sample Size

Using R >

Microarray Analysis

R Graphics

R Intro (data)

R Intro (stats)

R Modeling

Tour a Course

Learning Style

Homework

Software

Time Requirement

Communications
with Instructor

How to Register

Prerequisites

Tuition Discounts

Transfer/
Withdrawal

Academic Credit

CEU Certificates

Programs of Study

Tutoring

Consulting

Engage an Expert

Stat Term Glossary

Statistical Symbols

Discussion Boards

Software >

Statistical Software

Free Web-Based

SQC Calculators

Jobs

Workshops

Stats Books

For Teachers

Company

Faculty

Management Team

What Students Say

Home > Resources > Glossary

Statistical Glossary

Principal Component Analysis:

The purpose of principal component analysis is to derive a small number of linear combinations (principal components) of a set of variables that retain as much of the information in the original variables as possible.

Browse Other Glossary Entries