v 1.2

1. Remove the vignette as it appeared at https://journal.r-project.org/articles/RJ-2023-033/

v 1.1

1. Add the MaryRiverFlow dataset
2. Modified examples
3. Updates to Arguments in generate.ff.data() and generate.sf.data() to produce outlier-contaminated data
4. Updates in getPCA() to provide principal components effectively
5. Updates to Arguments in getPCA.test() to obtain principal component results of a test sample more effectively
6. Updates in plot_ff_coeffs() to provide image.plot
7. Updates in rob.ff.reg() to estimate function-on-function regression model more effectively when ncompY = NULL and ncompX = NULL
8. Updates in rob.sf.reg() to estimate scalar-on-function regression model more effectively when ncomp = NULL
9. Updates to Arguments in rob.sf.reg() to allow for scalar predictors in the scalar-on-function regression model
10. Updates to Arguments in predict_sf_regression() to allow for scalar predictors in the prediction of scalar-on-function regression model
11. Fix typos in the manual