Hoja de preparación de datos

data casuser.train_data; do id = 1 to 100; do t = 1 to 50; y = sin(t/10) + rannor(1)*0.1; output; end; end; run; proc cas; fpca.fpca / table={name="train_data", caslib="casuser"}, input="y", id="id", output={saveState={name="fpca_model", caslib="casuser"}}; run;