The functional logit regression model was proposed by [@Escabias04] with the objective of modeling a scalar binary response variable from predictor. estimation in that case performed subspace $L^2(T)$ squared integrable functions finite dimension, generated set basis functions. For it assumed curves predictor and parameter belong to same subspace. so obtained affected high multicollinearity pro...