Nothing

```
se###
###
### Ramsey & Silverman (2006) Functional Data Analysis, 2nd ed. (Springer)
###
### ch. 17. Derivatives and functional linear models
###
library(fda)
##
## Section 17.1. Introduction
##
# Derivatives can be as important as a function differentiated
##
## Section 17.2. Oil refinery data
##
#. p. 298, Figure 17.1. Reflux flow and Tray 47 level in a refinery
str(refinery)
sapply(refinery, class)
with(growth, matplot(age, hgtf[, sel], type="b"))
refOrder <- 4
(refKnots <- c(0, 67/2, 67, 67, 67, 67+(1:4)*(193-67)/4))
(ref.nKnots <- length(refKnots))
# p. 299: "These knot choices imply a total of eleven basis functions."
(ref.nBasis <- ref.nKnots+refOrder-2)
# I should work fda-ch14 before continuing here.
```

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