canonical correlation

  1. N

    How to measure the impact of a subject on student performance?

    Hi, I need to find the impact of mathematics on student performance. I have only the student exam marks for mathematics and all the other subjects. What are the statistical methods that can be used for this situation other than correlation and regression? According to my point of view, I...
  2. J

    Multivariate Regression vs Canonical Correlation

    I know the difference between correlation and regression, however, I'm a little confused with the difference between Canonical Correlation (CCR) and MultiVARIATE Regression (MVR) (>1 DV). Seems like little info is available about the usage of MVR and a lot more available for CCR. Seems also that...
  3. R

    Tutorial - Canonical Trend surface analysis

    Hello all, I am looking for some explanatory tutorials for canonical trend surface analysis. I got this analysis from one published paper in molecular ecology. I am getting many result for trend surface analysis but its relation to canonical models are not available. Can anybody...
  4. M

    canonical correlation and pseudoreplication

    Hello I have just joined Talk Stats and was hoping you all might be able to give me some advice. I have used a canonical correlation analysis to analyse data where I quantified the behaviour of animals at different sites in relation to the characteristics of the sites. A colleague has...
  5. C

    Regularized Canonical Correlation Analysis

    Hi, I have a question about sample size and regularized canonical correlation analysis. Is a sample size of 15 unreasonable to use in a regularized canonical correlation analysis? If one has lots and lots of potential explanatory variables (multicollinearity expected) and multiple response...
  6. C

    Canonical Correlation (Package CCA)

    Hi there, I'm using R (and package CCA) trying to perform a regularized canonical correlation analysis (There are 12-13 "response" variables in one dataset, another dataset of a whole lot (i.e. >400) of potential "explanatory" variables, but only a sample size of 15). Gonzalez et al. (2008...