?predict

Use data.frame() to generate input vectors (newdata) for which you want predicted values.
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Sent from my phone. Please excuse my brevity.

halptekin <halptekin@gmail.com> wrote:

Here is my model with interaction terms and control variables (I changed
variables names for easy read): 

reg1 <- lm(y ~ x1*x2*x3 +control1 + control2 + control3) 

x1 ranges from 0 to 6; x2 from 0 to 5; and x3 from 0 to 4. All three are
discrete ordinal variables; but I will treat them as continuous variables. 

(a) How can I see the predicted values of y for each of these scenarios (210
scenarios I guess)? 
(b) How can I see the predicted value of y for the minimum and maximum
values of x1, x2, and x3 (8 scenarios)? 
(c) How can I see the predicted value of y for x1=6; x2=5; and x3=4 (1
scenario)? 

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