- Yaffe, Kristine
- Hunt, MJO
- Weissfeld, L
- Boudreau, RM
- Aizenstein, H
- Newman, AB
- Simonsick, EM
- Van, DR
- Thomas, F
- Rosano, C
- et al.
When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed "all-possible" SPLS