logitFD: an R package for functional principal component logit regression

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 problems solution given these based on different principal component analysis. [logitFD](https://CRAN.R-project.org/package=logitFD) package introduced here provides toolbox for fit models implementing solutions generalizing 2004 several non-functional predictors. performance is illustrated using data sets included [fda.usc](https://CRAN.R-project.org/package=fda.usc) R-CRAN.