A formal learning model

1. PCA learning

2. More general learning model

2.1. Removing the realizability assumption

2.2. Learning problems beyond binary classification

2.3. Releasing the realizability assumption - Agnostic PCA learning

2.4. The scope of learning problems modeled

2.4.1. Multiclass classification

2.4.2. Regression