clr

A new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) doi:10.1080/01621459.2012.722900 and (2015) doi:10.1007/978-3-319-18732-7_3. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.

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