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Remember: The tutorials were produced in such a way that you should be able to easily adapt the codes to your own data! The most common method is Redundancy Analysis (RDA). Response variables of interest are first predicted by a set of predictors the predictions are then analysed used PCA or other (unconstrained) ordination method. Conversely, constrained ordination uses external information. The most commonly used method is Principal Component Analysis (PCA). The term unconstrained is used to ordination methods in which no external information is considered while analysing the data. Unconstrained and Constrained ordinations

Lecture 22: Multivariate Response Models.

Tutorial 8: Heteroscedasticity and GLMs.

Lecture 14: A new look into Heteroscedasticity.

Tutorial 7: Multiple regression in practice.

Tutorial 5: Rank-transformation and Heteroscedasticity.

Lecture 4: Estimators and Factorial ANOVA.

Tutorial 2: Statistical Hypothesis Testing.

Lecture 2: Statistical Hypotheses Testing.