The LD1 discriminant axis on the sandbox and derived readings (Wilks, CART)
Mind map of chapter 25: shift to SUPERVISED analysis. Centres of gravity G_d and G_p, Fisher criterion J(v) = v'Bv / v'Wv, solution v* ∝ W^-1(G_p − G_d), results on the table (I_B/I_T ≈ 73%, LD1 coefs dominated by S, K↓, C, F↓, projected centres ±6.91), forward selection via Wilks' lambda and opening to CART trees.