LCM
(Built-in Mathematica Symbol) LCM[n_1, n_2, ...] gives the least common multiple of the n_i.
LetterQ
(Built-in Mathematica Symbol) LetterQ[string] yields True if all the characters in the string are letters, and yields False otherwise.
LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...
ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...
Standardize[list] shifts and rescales the elements of list to have zero mean and unit sample variance.Standardize[list, f_1] shifts the elements in list by f_1[list] and ...
TransferFunctionZeros[tf] gives a matrix of roots of the numerators in the TransferFunctionModel object tf.
VonMisesDistribution[\[Mu], \[Kappa]] represents a von Mises distribution with mean \[Mu] and concentration \[Kappa].
When you define a complicated function, you will often want to let some of the arguments of the function be "optional". If you do not give those arguments explicitly, you ...
PairwiseScatterPlot[m] creates a matrix of scatter plots comparing the data in each column of m against columns of m.
LeastSquares[m, b] finds an x that solves the linear least-squares problem for the matrix equation m.x == b.