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> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: > > Dear all, > > I am using the pls package of R to perform partial least square on a set of > multivariate data. Instead of fitting a linear model, I want to fit my > data with a quadratic function with interaction terms. But I am not sure > h...

...people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Jul 13, 2017 at 10:15 AM, David Winsemius <dwinsemius at comcast.net> wrote: > >> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: >> >> Dear all, >> >> I am using the pls package of R to perform partial least square on a set of >> multivariate data. Instead of fitting a linear model, I want to fit my >> data with a quadratic function with interaction terms. Bu...

Dear all, I am using the pls package of R to perform partial least square on a set of multivariate data. Instead of fitting a linear model, I want to fit my data with a quadratic function with interaction terms. But I am not sure how. I will use an example to illustrate my problem: Following the example in the PLS manual: ## Read data data(gasoline) gasTrain <- gasoline[1:50,] ## Perform

...king things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, Jul 13, 2017 at 10:15 AM, David Winsemius > <dwinsemius at comcast.net> wrote: >> >>> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: >>> >>> Dear all, >>> >>> I am using the pls package of R to perform partial least square on a set of >>> multivariate data. Instead of fitting a linear model, I want to fit my >>> data with a quadratic function w...

...king things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, Jul 13, 2017 at 10:15 AM, David Winsemius > <dwinsemius at comcast.net> wrote: >> >>> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: >>> >>> Dear all, >>> >>> I am using the pls package of R to perform partial least square on a set of >>> multivariate data. Instead of fitting a linear model, I want to fit my >>> data with a quadratic function w...

...; >> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) >> >> >> On Thu, Jul 13, 2017 at 10:15 AM, David Winsemius >> <dwinsemius at comcast.net> wrote: >>> >>>> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: >>>> >>>> Dear all, >>>> >>>> I am using the pls package of R to perform partial least square on a set of >>>> multivariate data. Instead of fitting a linear model, I want to fit my >>>> data with...

...keley Breathed in his "Bloom County" comic strip ) >>> >>> >>> On Thu, Jul 13, 2017 at 10:15 AM, David Winsemius >>> <dwinsemius at comcast.net> wrote: >>>> >>>>> On Jul 12, 2017, at 6:58 PM, Ng, Kelvin Sai-cheong <kscng at connect.hku.hk> wrote: >>>>> >>>>> Dear all, >>>>> >>>>> I am using the pls package of R to perform partial least square on a set of >>>>> multivariate data. Instead of fitting a linear model, I want to fit my >&...

Dear all, I am using the pls package of R to perform partial least square on a set of multivariate data. Instead of fitting a linear model, I want to fit my data with a quadratic function with interaction terms. But I am not sure how. I will use an example to illustrate my problem: Following the example in the PLS manual: ## Read data data(gasoline) gasTrain <- gasoline[1:50,] ## Perform